Mac Studio
Geekbench AI Score
3701
Single Precision Score
5879
Half Precision Score
4723
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | denweeks |
| Upload Date | June 20 2025 04:08 AM |
| Views | 2 |
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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
2032
377.9 IPS |
|
|
Image Classification (Q)
|
96% |
1496
279.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2600
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11088
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22768
26.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17150
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2270
180.7 IPS |
|
|
Object Detection (Q)
|
94% |
1729
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5283
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
3129
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5736
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9907
76.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7124
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22112
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33762
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27018
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4348
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6019
222.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4078
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4057
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4093
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4808
83.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4768
82.4 IPS |
