Mac Studio
Geekbench ML Score
2972
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 06:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.22 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1256
235.1 IPS |
|
|
Image Classification (F16)
|
100% |
1595
298.5 IPS |
|
|
Image Classification (I8)
|
99% |
1582
296.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
797
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
790
13.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
788
13.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5435
6.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
12401
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
12635
15.3 IPS |
|
|
Object Detection (F32)
|
100% |
1276
95.3 IPS |
|
|
Object Detection (F16)
|
100% |
1703
127.2 IPS |
|
|
Object Detection (I8)
|
97% |
1275
95.2 IPS |
|
|
Face Detection (F32)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (F16)
|
97% |
3723
44.3 IPS |
|
|
Face Detection (I8)
|
97% |
3706
44.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4811
37.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7821
60.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
7786
60.4 IPS |
|
|
Style Transfer (F32)
|
100% |
14053
18.5 IPS |
|
|
Style Transfer (F16)
|
100% |
22891
30.1 IPS |
|
|
Style Transfer (I8)
|
100% |
23010
30.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3396
121.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4334
154.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4336
154.8 IPS |
|
|
Text Classification (F32)
|
100% |
2052
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3284
4.72 KIPS |
|
|
Text Classification (I8)
|
96% |
3248
4.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
681
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
870
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
664
12.2 IPS |
