Mac Studio
Geekbench AI Score
3693
Single Precision Score
16522
Half Precision Score
16457
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | MrTom |
| Upload Date | August 30 2025 03:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
6878
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6562
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9743
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10443
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11108
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71315
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67658
79.3 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
7989
635.5 IPS |
|
|
Object Detection (Q)
|
91% |
7497
599.0 IPS |
|
|
Face Detection (SP)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
16320
193.9 IPS |
|
|
Face Detection (Q)
|
100% |
15159
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5860
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51946
400.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
54270
424.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22044
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120942
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
117488
151.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4320
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25919
957.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27919
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4003
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3993
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3734
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3892
67.3 IPS |
