Mac Studio
Geekbench AI Score
3705
Single Precision Score
5899
Half Precision Score
5095
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | over_time_ |
| Upload Date | May 24 2025 05:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (Q)
|
99% |
2027
378.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2357
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10717
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
22224
25.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17334
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2319
184.6 IPS |
|
|
Object Detection (Q)
|
94% |
1698
135.3 IPS |
|
|
Face Detection (SP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
5303
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
3087
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5815
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10086
77.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
10171
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21973
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33257
42.8 IPS |
|
|
Style Transfer (Q)
|
100% |
33981
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4392
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5880
217.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4131
153.1 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4088
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4848
83.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4739
81.9 IPS |
