Mac Studio
Geekbench AI Score
10672
Single Precision Score
11699
Half Precision Score
11068
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | justinwkf |
| Upload Date | July 31 2025 04:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4405
819.1 IPS |
|
|
Image Classification (HP)
|
100% |
4499
836.6 IPS |
|
|
Image Classification (Q)
|
96% |
4142
773.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10054
163.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9878
160.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9391
152.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
46479
54.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
48927
57.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
47885
56.1 IPS |
|
|
Object Detection (SP)
|
100% |
4415
350.2 IPS |
|
|
Object Detection (HP)
|
100% |
4820
382.4 IPS |
|
|
Object Detection (Q)
|
92% |
4415
352.4 IPS |
|
|
Face Detection (SP)
|
100% |
17882
212.5 IPS |
|
|
Face Detection (HP)
|
100% |
18567
220.6 IPS |
|
|
Face Detection (Q)
|
100% |
15611
185.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22810
175.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24426
188.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
22375
174.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78862
101.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93310
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
92813
119.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15302
565.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15720
580.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14066
519.4 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3935
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1726
29.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1871
32.3 IPS |
