Mac Studio
Geekbench AI Score
3654
Single Precision Score
6020
Half Precision Score
4827
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gtuck |
| Upload Date | December 03 2025 07:45 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
2074
385.8 IPS |
|
|
Image Classification (Q)
|
96% |
1514
282.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10438
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23059
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17855
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2339
186.2 IPS |
|
|
Object Detection (Q)
|
94% |
1732
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
3379
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
5519
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3201
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5722
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10545
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7338
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22192
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35109
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28045
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4155
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5657
208.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4084
150.8 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
4071
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4057
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3110
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5116
88.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5119
88.5 IPS |
