Mac Studio
Geekbench AI Score
3628
Single Precision Score
5997
Half Precision Score
4819
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | michaldepta |
| Upload Date | January 06 2026 09:41 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1331
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
2093
389.2 IPS |
|
|
Image Classification (Q)
|
96% |
1510
282.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2255
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2613
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10446
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23145
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17691
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2357
187.6 IPS |
|
|
Object Detection (Q)
|
94% |
1731
138.0 IPS |
|
|
Face Detection (SP)
|
100% |
3374
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
5479
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3187
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5703
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10604
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7332
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22040
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35012
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28031
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4070
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4048
149.5 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4087
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4116
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5143
88.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5124
88.5 IPS |
