Mac Studio
Geekbench AI Score
3688
Single Precision Score
5800
Half Precision Score
4665
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | justinwkf |
| Upload Date | July 31 2025 04:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2018
375.4 IPS |
|
|
Image Classification (Q)
|
96% |
1497
279.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2273
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2608
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11158
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22251
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17272
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.2 IPS |
|
|
Object Detection (HP)
|
97% |
2288
182.1 IPS |
|
|
Object Detection (Q)
|
94% |
1717
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5348
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3064
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5793
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10108
78.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7015
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21936
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31208
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25587
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4322
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5713
211.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4059
149.9 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4779
82.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4733
81.8 IPS |
