Mac Studio
Geekbench AI Score
12102
Single Precision Score
13595
Half Precision Score
12836
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | MrTom |
| Upload Date | August 30 2025 03:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
5039
937.1 IPS |
|
|
Image Classification (HP)
|
100% |
5116
951.4 IPS |
|
|
Image Classification (Q)
|
96% |
4739
885.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11700
189.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12035
195.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11518
186.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
56951
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
62228
72.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59199
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
5174
410.4 IPS |
|
|
Object Detection (HP)
|
100% |
5337
423.3 IPS |
|
|
Object Detection (Q)
|
92% |
5019
400.6 IPS |
|
|
Face Detection (SP)
|
100% |
21035
249.9 IPS |
|
|
Face Detection (HP)
|
100% |
22064
262.2 IPS |
|
|
Face Detection (Q)
|
100% |
18990
225.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26330
202.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
27862
214.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
25612
200.1 IPS |
|
|
Style Transfer (SP)
|
100% |
96225
123.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122280
157.2 IPS |
|
|
Style Transfer (Q)
|
96% |
118854
153.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16709
617.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17637
651.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16024
591.7 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4014
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2015
34.8 IPS |
