Mac Studio
Geekbench ML Score
6149
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 06:26 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% |
4050
757.8 IPS |
|
|
Image Classification (F16)
|
100% |
4166
779.5 IPS |
|
|
Image Classification (I8)
|
99% |
3584
670.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1549
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1586
26.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1474
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
38217
46.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
41563
50.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
40575
49.1 IPS |
|
|
Object Detection (F32)
|
100% |
3164
236.2 IPS |
|
|
Object Detection (F16)
|
100% |
3393
253.3 IPS |
|
|
Object Detection (I8)
|
97% |
2944
219.8 IPS |
|
|
Face Detection (F32)
|
100% |
14035
166.9 IPS |
|
|
Face Detection (F16)
|
98% |
14727
175.1 IPS |
|
|
Face Detection (I8)
|
97% |
13735
163.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
22683
175.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
23450
181.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
21287
165.1 IPS |
|
|
Style Transfer (F32)
|
100% |
64266
84.5 IPS |
|
|
Style Transfer (F16)
|
100% |
77335
101.7 IPS |
|
|
Style Transfer (I8)
|
100% |
65959
86.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9696
346.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11855
423.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8523
304.4 IPS |
|
|
Text Classification (F32)
|
100% |
1141
1.64 KIPS |
|
|
Text Classification (F16)
|
100% |
454
653.2 IPS |
|
|
Text Classification (I8)
|
96% |
524
753.0 IPS |
|
|
Machine Translation (F32)
|
100% |
725
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
723
13.3 IPS |
|
|
Machine Translation (I8)
|
99% |
706
13.0 IPS |
