Mac Studio
Geekbench AI Score
1938
Single Precision Score
12704
Half Precision Score
10550
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 28 2024 09:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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% |
934
173.6 IPS |
|
|
Image Classification (HP)
|
100% |
6980
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6332
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3876
62.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
488
7.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
10102
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69471
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65910
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1107
87.8 IPS |
|
|
Object Detection (HP)
|
99% |
7377
586.8 IPS |
|
|
Object Detection (Q)
|
93% |
7110
567.3 IPS |
|
|
Face Detection (SP)
|
100% |
1945
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
11235
133.5 IPS |
|
|
Face Detection (Q)
|
100% |
11743
139.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3653
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45993
354.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
54578
426.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12283
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
117884
151.5 IPS |
|
|
Style Transfer (Q)
|
96% |
115079
148.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2559
94.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18668
689.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23121
853.8 IPS |
|
|
Text Classification (SP)
|
100% |
299
399.7 IPS |
|
|
Text Classification (HP)
|
100% |
3593
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3590
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1934
33.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1928
33.3 IPS |
