Mac Studio
Geekbench AI Score
3742
Single Precision Score
5824
Half Precision Score
4748
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 24 2024 09:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
2038
379.1 IPS |
|
|
Image Classification (Q)
|
96% |
1492
278.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2685
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11082
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22642
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17423
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
97% |
2353
187.3 IPS |
|
|
Object Detection (Q)
|
94% |
1740
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
3320
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
5388
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3185
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5886
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10816
83.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7413
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21982
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35509
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26729
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4241
156.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6179
228.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4029
148.8 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3903
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3906
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3579
61.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4829
83.5 IPS |
