Mac Studio
Geekbench AI Score
3680
Single Precision Score
5813
Half Precision Score
4702
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Egon2016 |
| Upload Date | August 05 2025 01:30 PM |
| Views | 6 |
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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1326
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
2025
376.7 IPS |
|
|
Image Classification (Q)
|
96% |
1495
279.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2587
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11305
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22069
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17298
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1550
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2288
182.2 IPS |
|
|
Object Detection (Q)
|
94% |
1717
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
5251
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
3093
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5677
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10376
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7078
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21954
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32737
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26721
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4304
158.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5667
209.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4046
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4062
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4745
82.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4789
82.8 IPS |
