Mac Studio
Geekbench AI Score
3700
Single Precision Score
5849
Half Precision Score
4742
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 11 2025 11:24 PM |
| Views | 4 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.1 IPS |
|
|
Image Classification (Q)
|
96% |
1512
282.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2619
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10940
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21953
25.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17330
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2312
184.1 IPS |
|
|
Object Detection (Q)
|
94% |
1722
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5191
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
3131
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5709
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10350
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7114
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22001
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32375
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27087
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4381
161.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5884
217.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4093
151.2 IPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4068
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3225
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5024
86.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4846
83.7 IPS |
