Mac Studio
Geekbench AI Score
10029
Single Precision Score
11367
Half Precision Score
10623
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Renegade937 |
| Upload Date | January 26 2026 08:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.11 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3840
714.1 IPS |
|
|
Image Classification (HP)
|
100% |
3986
741.3 IPS |
|
|
Image Classification (Q)
|
96% |
3642
680.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9847
159.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9779
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9185
148.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
46074
53.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
50312
58.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
48252
56.5 IPS |
|
|
Object Detection (SP)
|
100% |
3595
285.2 IPS |
|
|
Object Detection (HP)
|
100% |
4367
346.4 IPS |
|
|
Object Detection (Q)
|
92% |
4050
323.3 IPS |
|
|
Face Detection (SP)
|
100% |
17448
207.3 IPS |
|
|
Face Detection (HP)
|
100% |
18219
216.5 IPS |
|
|
Face Detection (Q)
|
100% |
15543
184.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22911
176.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24248
186.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
21786
170.2 IPS |
|
|
Style Transfer (SP)
|
100% |
76452
98.3 IPS |
|
|
Style Transfer (HP)
|
100% |
93032
119.6 IPS |
|
|
Style Transfer (Q)
|
96% |
91160
117.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14316
528.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14886
549.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12848
474.4 IPS |
|
|
Text Classification (SP)
|
100% |
2089
2.79 KIPS |
|
|
Text Classification (HP)
|
99% |
3698
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3759
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1799
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1859
32.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1879
32.5 IPS |
