Mac Studio
Geekbench AI Score
2129
Single Precision Score
12600
Half Precision Score
13051
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | nostah |
| Upload Date | August 27 2024 01:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
944
175.5 IPS |
|
|
Image Classification (HP)
|
100% |
7043
1.31 KIPS |
|
|
Image Classification (Q)
|
99% |
7334
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3861
62.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3870
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10232
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69654
81.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
65998
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1076
85.3 IPS |
|
|
Object Detection (HP)
|
99% |
7413
589.7 IPS |
|
|
Object Detection (Q)
|
93% |
7157
571.0 IPS |
|
|
Face Detection (SP)
|
100% |
1892
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
11243
133.6 IPS |
|
|
Face Detection (Q)
|
100% |
12328
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3605
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
45967
354.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
49448
382.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12213
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
117601
151.2 IPS |
|
|
Style Transfer (Q)
|
100% |
123326
158.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2411
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18686
690.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22931
849.6 IPS |
|
|
Text Classification (SP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3310
4.42 KIPS |
|
|
Text Classification (Q)
|
93% |
3297
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1911
32.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1882
32.5 IPS |
