Mac Studio
Geekbench AI Score
11366
Single Precision Score
12540
Half Precision Score
11657
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mtx_1 |
| Upload Date | March 26 2026 08:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
4494
835.8 IPS |
|
|
Image Classification (HP)
|
100% |
4527
841.8 IPS |
|
|
Image Classification (Q)
|
94% |
4262
796.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10223
165.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10106
163.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9450
153.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
47336
55.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
50954
59.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
48902
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
4497
356.7 IPS |
|
|
Object Detection (HP)
|
100% |
4852
384.9 IPS |
|
|
Object Detection (Q)
|
91% |
4406
352.1 IPS |
|
|
Face Detection (SP)
|
100% |
19099
226.9 IPS |
|
|
Face Detection (HP)
|
100% |
19533
232.1 IPS |
|
|
Face Detection (Q)
|
100% |
17673
210.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23587
181.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24733
190.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
23137
180.9 IPS |
|
|
Style Transfer (SP)
|
100% |
79990
102.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96393
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
94152
121.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15559
574.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16107
594.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14415
532.3 IPS |
|
|
Text Classification (SP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4151
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4208
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2768
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2732
47.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2288
39.5 IPS |
