Mac Studio
Geekbench AI Score
1951
Single Precision Score
12665
Half Precision Score
10506
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 28 2024 10:36 PM |
| Views | 5 |
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% |
957
178.0 IPS |
|
|
Image Classification (HP)
|
100% |
7022
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6465
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3879
62.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
484
7.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
10051
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
69562
81.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
64965
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (HP)
|
99% |
7388
587.7 IPS |
|
|
Object Detection (Q)
|
93% |
7142
569.9 IPS |
|
|
Face Detection (SP)
|
100% |
1936
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
11222
133.3 IPS |
|
|
Face Detection (Q)
|
100% |
11752
139.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3501
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46119
355.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
54841
428.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12255
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
117897
151.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115038
148.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2339
86.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18743
692.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23330
861.5 IPS |
|
|
Text Classification (SP)
|
100% |
362
482.9 IPS |
|
|
Text Classification (HP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (Q)
|
93% |
3390
4.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1931
33.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1925
33.3 IPS |
