Mac Studio
Geekbench AI Score
2764
Single Precision Score
4170
Half Precision Score
3508
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | groosheck |
| Upload Date | August 15 2024 05:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1278
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
1618
300.9 IPS |
|
|
Image Classification (Q)
|
99% |
1603
299.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1176
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5672
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13149
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11257
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
97% |
1903
151.5 IPS |
|
|
Object Detection (Q)
|
94% |
1477
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
2588
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
3900
46.3 IPS |
|
|
Face Detection (Q)
|
100% |
2641
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5079
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7908
61.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
3861
29.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14874
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23749
30.5 IPS |
|
|
Style Transfer (Q)
|
100% |
23758
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3328
122.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4032
148.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3292
122.0 IPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3581
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3571
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1502
25.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3169
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3169
54.8 IPS |
