Mac Studio
Geekbench AI Score
3842
Single Precision Score
6276
Half Precision Score
5045
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | shinsh |
| Upload Date | March 31 2026 11:58 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
1325
246.4 IPS |
|
|
Image Classification (HP)
|
100% |
2094
389.3 IPS |
|
|
Image Classification (Q)
|
96% |
1516
283.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2612
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10368
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22679
26.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17496
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
97% |
2336
185.9 IPS |
|
|
Object Detection (Q)
|
94% |
1722
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
5465
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3174
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5696
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10444
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7303
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21922
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35496
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28402
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4047
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5333
196.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3920
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
4328
5.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6767
9.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6787
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3066
52.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5125
88.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5117
88.4 IPS |
