Mac Studio
Geekbench AI Score
3673
Single Precision Score
5826
Half Precision Score
4694
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | iansilv |
| Upload Date | July 26 2025 01:54 AM |
| Views | 11 |
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% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
2028
377.1 IPS |
|
|
Image Classification (Q)
|
96% |
1507
281.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11111
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21892
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17643
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
97% |
2308
183.7 IPS |
|
|
Object Detection (Q)
|
94% |
1728
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5217
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
3110
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5592
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10119
78.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7097
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21896
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33350
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26827
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4299
158.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5811
214.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4043
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3775
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3206
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4833
83.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4808
83.1 IPS |
