Mac Studio
Geekbench ML Score
1830
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 13 2023 06:45 AM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
909
170.1 IPS |
|
|
Image Classification (F16)
|
100% |
882
165.0 IPS |
|
|
Image Classification (I8)
|
99% |
887
166.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
499
8.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
463
7.74 IPS |
|
|
Image Segmentation (I8)
|
100% |
462
7.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
9589
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
13631
16.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
13723
16.6 IPS |
|
|
Object Detection (F32)
|
100% |
975
72.8 IPS |
|
|
Object Detection (F16)
|
100% |
1044
77.9 IPS |
|
|
Object Detection (I8)
|
97% |
1050
78.4 IPS |
|
|
Face Detection (F32)
|
100% |
1921
22.8 IPS |
|
|
Face Detection (F16)
|
100% |
1648
19.6 IPS |
|
|
Face Detection (I8)
|
99% |
1657
19.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3409
26.4 IPS |
|
|
Depth Estimation (F16)
|
99% |
3333
25.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3325
25.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12496
16.4 IPS |
|
|
Style Transfer (F16)
|
100% |
13576
17.9 IPS |
|
|
Style Transfer (I8)
|
100% |
13129
17.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2609
93.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2433
86.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2622
93.6 IPS |
|
|
Text Classification (F32)
|
100% |
402
577.3 IPS |
|
|
Text Classification (F16)
|
100% |
459
659.1 IPS |
|
|
Text Classification (I8)
|
96% |
489
703.2 IPS |
|
|
Machine Translation (F32)
|
100% |
900
16.6 IPS |
|
|
Machine Translation (F16)
|
99% |
978
18.0 IPS |
|
|
Machine Translation (I8)
|
99% |
887
16.3 IPS |
