Mac Studio
Geekbench AI Score
3695
Single Precision Score
5798
Half Precision Score
4688
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | VincentDupont |
| Upload Date | July 11 2025 09:39 PM |
| Views | 13 |
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% |
1341
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
2028
377.1 IPS |
|
|
Image Classification (Q)
|
96% |
1499
280.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2588
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11351
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22568
26.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17446
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2309
183.8 IPS |
|
|
Object Detection (Q)
|
94% |
1698
135.3 IPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
5078
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
3085
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5823
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10298
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7143
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21737
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32424
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26348
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4328
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5635
208.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4071
150.3 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3961
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4780
82.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4782
82.6 IPS |
