Generic
Geekbench ML Score
20675
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 05:00 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Generic |
| Motherboard | ASRock X99 Extreme6/3.1 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6950X |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 10 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 256 KB x 10 |
| L3 Cache | 25.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9344
1.75 KIPS |
|
|
Image Classification (F16)
|
100% |
9568
1.79 KIPS |
|
|
Image Classification (I8)
|
100% |
8043
1.51 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12299
205.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
12449
207.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
11695
195.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
224650
272.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
226829
274.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
202753
245.5 IPS |
|
|
Object Detection (F32)
|
100% |
4593
342.9 IPS |
|
|
Object Detection (F16)
|
100% |
4564
340.7 IPS |
|
|
Object Detection (I8)
|
56% |
3173
236.9 IPS |
|
|
Face Detection (F32)
|
100% |
29126
346.3 IPS |
|
|
Face Detection (F16)
|
100% |
29539
351.2 IPS |
|
|
Face Detection (I8)
|
89% |
25396
302.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
63121
489.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
65560
508.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
53980
418.6 IPS |
|
|
Style Transfer (F32)
|
100% |
318919
419.5 IPS |
|
|
Style Transfer (F16)
|
100% |
309652
407.3 IPS |
|
|
Style Transfer (I8)
|
98% |
286025
376.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
42712
1.53 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
43589
1.56 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
34709
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2555
3.67 KIPS |
|
|
Text Classification (F16)
|
100% |
2787
4.01 KIPS |
|
|
Text Classification (I8)
|
98% |
1834
2.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
3527
64.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3499
64.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2289
42.1 IPS |
