Mac Studio
Geekbench AI Score
9935
Single Precision Score
10861
Half Precision Score
9681
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | November 17 2024 04:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
4582
852.2 IPS |
|
|
Image Classification (HP)
|
100% |
4616
858.4 IPS |
|
|
Image Classification (Q)
|
97% |
3882
724.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8828
143.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8690
140.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8707
141.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
47495
55.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49573
57.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
45793
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
4016
318.5 IPS |
|
|
Object Detection (HP)
|
100% |
4465
354.2 IPS |
|
|
Object Detection (Q)
|
91% |
4246
339.3 IPS |
|
|
Face Detection (SP)
|
100% |
18833
223.8 IPS |
|
|
Face Detection (HP)
|
100% |
19270
229.0 IPS |
|
|
Face Detection (Q)
|
100% |
13741
163.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23924
184.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24650
189.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20492
160.2 IPS |
|
|
Style Transfer (SP)
|
100% |
80213
103.1 IPS |
|
|
Style Transfer (HP)
|
100% |
95273
122.5 IPS |
|
|
Style Transfer (Q)
|
96% |
89490
115.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15984
590.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15893
586.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12588
464.8 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3999
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
868
15.0 IPS |
