GIGABYTE G6X9KG
Geekbench ML Score
3297
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 27 2024 06:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | GIGABYTE G6X9KG |
| Motherboard | GIGABYTE G6X9KG |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1770
331.2 IPS |
|
|
Image Classification (F16)
|
100% |
1769
331.1 IPS |
|
|
Image Classification (I8)
|
99% |
3192
597.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1626
27.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1530
25.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2381
39.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5899
7.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
5999
7.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
19152
23.2 IPS |
|
|
Object Detection (F32)
|
100% |
1731
129.2 IPS |
|
|
Object Detection (F16)
|
100% |
1674
125.0 IPS |
|
|
Object Detection (I8)
|
62% |
1670
124.7 IPS |
|
|
Face Detection (F32)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (F16)
|
100% |
3200
38.0 IPS |
|
|
Face Detection (I8)
|
89% |
3728
44.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6698
51.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6999
54.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
12218
94.8 IPS |
|
|
Style Transfer (F32)
|
100% |
14081
18.5 IPS |
|
|
Style Transfer (F16)
|
100% |
14278
18.8 IPS |
|
|
Style Transfer (I8)
|
98% |
20405
26.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3035
108.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3119
111.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4027
143.8 IPS |
|
|
Text Classification (F32)
|
100% |
1377
1.98 KIPS |
|
|
Text Classification (F16)
|
100% |
1389
2.00 KIPS |
|
|
Text Classification (I8)
|
98% |
429
617.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1645
30.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1626
29.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2429
44.7 IPS |
