Mac Studio
Geekbench ML Score
6713
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | azrobbo |
| Upload Date | August 15 2024 06:15 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4530
847.7 IPS |
|
|
Image Classification (F16)
|
100% |
4526
847.0 IPS |
|
|
Image Classification (I8)
|
99% |
3904
730.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1664
27.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1632
27.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1584
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
47414
57.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
43452
52.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
50391
61.0 IPS |
|
|
Object Detection (F32)
|
100% |
3444
257.1 IPS |
|
|
Object Detection (F16)
|
100% |
3547
264.8 IPS |
|
|
Object Detection (I8)
|
97% |
3172
236.8 IPS |
|
|
Face Detection (F32)
|
100% |
16260
193.3 IPS |
|
|
Face Detection (F16)
|
98% |
16152
192.0 IPS |
|
|
Face Detection (I8)
|
97% |
15577
185.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
25061
194.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
26342
204.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
23753
184.2 IPS |
|
|
Style Transfer (F32)
|
100% |
72975
96.0 IPS |
|
|
Style Transfer (F16)
|
100% |
88932
117.0 IPS |
|
|
Style Transfer (I8)
|
100% |
107331
141.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12553
448.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13217
472.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10652
380.4 IPS |
|
|
Text Classification (F32)
|
100% |
548
787.0 IPS |
|
|
Text Classification (F16)
|
100% |
566
813.6 IPS |
|
|
Text Classification (I8)
|
96% |
467
671.2 IPS |
|
|
Machine Translation (F32)
|
100% |
751
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
746
13.7 IPS |
|
|
Machine Translation (I8)
|
99% |
725
13.3 IPS |
