Mac Studio
Geekbench AI Score
3757
Single Precision Score
5791
Half Precision Score
4774
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tyc0746 |
| Upload Date | March 18 2025 12:08 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
2058
382.8 IPS |
|
|
Image Classification (Q)
|
96% |
1492
278.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11174
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22407
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17604
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2377
189.3 IPS |
|
|
Object Detection (Q)
|
94% |
1743
139.0 IPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
5540
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3177
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6026
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10773
83.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7368
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22185
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34961
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27267
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6257
231.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4055
149.7 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3987
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4041
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3199
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4809
83.1 IPS |
