Mac Studio
Geekbench ML Score
7830
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 06:56 AM |
| Views | 3 |
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 | 3.20 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3989
746.5 IPS |
|
|
Image Classification (F16)
|
100% |
6978
1.31 KIPS |
|
|
Image Classification (I8)
|
99% |
7164
1.34 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1553
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1449
24.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1437
24.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
39679
48.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
62206
75.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
63076
76.4 IPS |
|
|
Object Detection (F32)
|
100% |
3170
236.6 IPS |
|
|
Object Detection (F16)
|
100% |
4094
305.6 IPS |
|
|
Object Detection (I8)
|
97% |
2916
217.7 IPS |
|
|
Face Detection (F32)
|
100% |
14110
167.8 IPS |
|
|
Face Detection (F16)
|
97% |
10653
126.7 IPS |
|
|
Face Detection (I8)
|
96% |
10790
128.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
22691
176.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
33506
259.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
31713
245.9 IPS |
|
|
Style Transfer (F32)
|
100% |
67566
88.9 IPS |
|
|
Style Transfer (F16)
|
100% |
111211
146.3 IPS |
|
|
Style Transfer (I8)
|
100% |
113692
149.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12279
438.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15332
547.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15582
556.5 IPS |
|
|
Text Classification (F32)
|
100% |
591
849.9 IPS |
|
|
Text Classification (F16)
|
100% |
1934
2.78 KIPS |
|
|
Text Classification (I8)
|
96% |
1957
2.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
714
13.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1583
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
693
12.8 IPS |
