Mac Studio
Geekbench ML Score
7737
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 01:00 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4249
795.2 IPS |
|
|
Image Classification (F16)
|
100% |
6738
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
7228
1.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1218
20.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1171
19.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1208
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
44895
54.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
61959
75.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
62607
75.8 IPS |
|
|
Object Detection (F32)
|
100% |
3222
240.6 IPS |
|
|
Object Detection (F16)
|
100% |
4085
305.0 IPS |
|
|
Object Detection (I8)
|
97% |
3032
226.4 IPS |
|
|
Face Detection (F32)
|
100% |
14131
168.0 IPS |
|
|
Face Detection (F16)
|
97% |
10410
123.8 IPS |
|
|
Face Detection (I8)
|
96% |
10278
122.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
23384
181.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
32951
255.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
33491
259.7 IPS |
|
|
Style Transfer (F32)
|
100% |
74420
97.9 IPS |
|
|
Style Transfer (F16)
|
100% |
106270
139.8 IPS |
|
|
Style Transfer (I8)
|
100% |
117248
154.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9793
349.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15874
566.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16678
595.6 IPS |
|
|
Text Classification (F32)
|
100% |
654
939.9 IPS |
|
|
Text Classification (F16)
|
100% |
1947
2.80 KIPS |
|
|
Text Classification (I8)
|
96% |
1896
2.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
710
13.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1627
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
703
12.9 IPS |
