Mac Studio
Geekbench AI Score
3695
Single Precision Score
5869
Half Precision Score
4717
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | denweeks |
| Upload Date | June 21 2025 03:48 AM |
| 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% |
1346
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (Q)
|
96% |
1511
282.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11037
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22219
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17400
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2294
182.6 IPS |
|
|
Object Detection (Q)
|
94% |
1715
136.7 IPS |
|
|
Face Detection (SP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5106
60.7 IPS |
|
|
Face Detection (Q)
|
100% |
3082
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5843
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10404
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7131
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21956
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33939
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26993
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4332
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5999
221.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4079
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4035
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4013
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3216
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4798
82.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4787
82.7 IPS |
