Mac Studio
Geekbench AI Score
3667
Single Precision Score
16546
Half Precision Score
16468
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | justinwkf |
| Upload Date | July 31 2025 04:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
6914
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6583
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9784
158.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10449
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11036
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70677
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67524
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
8049
640.3 IPS |
|
|
Object Detection (Q)
|
91% |
7523
601.1 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
16191
192.4 IPS |
|
|
Face Detection (Q)
|
100% |
15098
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5731
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52153
401.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
54374
424.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21817
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121702
156.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116773
150.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4354
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25931
957.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28137
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4034
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3155
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3705
63.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3860
66.7 IPS |
