Mac Studio
Geekbench AI Score
3694
Single Precision Score
5820
Half Precision Score
4679
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 26 2025 08:02 PM |
| Views | 7 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
1994
370.8 IPS |
|
|
Image Classification (Q)
|
96% |
1489
278.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2591
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11105
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22379
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17004
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2298
183.0 IPS |
|
|
Object Detection (Q)
|
94% |
1727
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5366
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
3052
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5811
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10290
79.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7125
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21834
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32317
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26140
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4317
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5584
206.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4065
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4112
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4762
82.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4788
82.7 IPS |
