Mac Studio
Geekbench AI Score
3689
Single Precision Score
5824
Half Precision Score
4692
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | TimPeng |
| Upload Date | August 23 2025 06:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1341
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
2018
375.3 IPS |
|
|
Image Classification (Q)
|
96% |
1499
279.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2261
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2617
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11126
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21702
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16997
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2298
182.9 IPS |
|
|
Object Detection (Q)
|
94% |
1718
137.0 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5044
59.9 IPS |
|
|
Face Detection (Q)
|
100% |
3073
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5851
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10395
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7119
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22009
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33524
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26139
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4102
151.5 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4040
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4031
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4751
82.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4778
82.6 IPS |
