Mac Studio
Geekbench AI Score
1854
Single Precision Score
12494
Half Precision Score
10416
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | TheKenLim |
| Upload Date | February 01 2025 11:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
908
168.9 IPS |
|
|
Image Classification (HP)
|
100% |
7162
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
6490
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
657
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3884
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
445
7.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
9292
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69155
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66255
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (HP)
|
99% |
7475
594.6 IPS |
|
|
Object Detection (Q)
|
93% |
7143
570.0 IPS |
|
|
Face Detection (SP)
|
100% |
1774
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
10962
130.2 IPS |
|
|
Face Detection (Q)
|
100% |
11813
140.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3259
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46364
357.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
54975
429.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12096
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
117886
151.5 IPS |
|
|
Style Transfer (Q)
|
96% |
115129
148.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18709
690.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23331
861.5 IPS |
|
|
Text Classification (SP)
|
100% |
638
852.2 IPS |
|
|
Text Classification (HP)
|
100% |
3027
4.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3328
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1901
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1896
32.8 IPS |
