Mac Studio
Geekbench AI Score
10974
Single Precision Score
12152
Half Precision Score
11403
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gtuck |
| Upload Date | December 03 2025 07:47 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4541
844.5 IPS |
|
|
Image Classification (HP)
|
100% |
4505
837.8 IPS |
|
|
Image Classification (Q)
|
96% |
4237
791.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10273
166.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10097
163.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9622
156.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
47388
55.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
51041
59.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
49053
57.5 IPS |
|
|
Object Detection (SP)
|
100% |
4686
371.7 IPS |
|
|
Object Detection (HP)
|
100% |
4927
390.8 IPS |
|
|
Object Detection (Q)
|
92% |
4626
369.3 IPS |
|
|
Face Detection (SP)
|
100% |
18758
222.9 IPS |
|
|
Face Detection (HP)
|
100% |
18953
225.2 IPS |
|
|
Face Detection (Q)
|
100% |
16459
195.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23639
182.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24926
192.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
22818
178.2 IPS |
|
|
Style Transfer (SP)
|
100% |
80016
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96668
124.3 IPS |
|
|
Style Transfer (Q)
|
96% |
94158
121.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15742
581.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16394
605.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14272
527.0 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3949
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2034
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2017
34.9 IPS |
