Mac Studio
Geekbench AI Score
9231
Single Precision Score
8911
Half Precision Score
8022
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | sfoskett |
| Upload Date | August 15 2024 07:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
4257
791.7 IPS |
|
|
Image Classification (HP)
|
100% |
4505
837.7 IPS |
|
|
Image Classification (Q)
|
99% |
3789
706.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8153
132.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8138
131.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
7768
125.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
46917
54.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
49111
57.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
42933
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
4512
357.9 IPS |
|
|
Object Detection (HP)
|
100% |
4736
375.7 IPS |
|
|
Object Detection (Q)
|
92% |
3669
292.9 IPS |
|
|
Face Detection (SP)
|
100% |
16703
198.5 IPS |
|
|
Face Detection (HP)
|
100% |
16373
194.5 IPS |
|
|
Face Detection (Q)
|
100% |
11924
141.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23212
178.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24196
186.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
23916
184.9 IPS |
|
|
Style Transfer (SP)
|
100% |
79375
102.0 IPS |
|
|
Style Transfer (HP)
|
100% |
93677
120.4 IPS |
|
|
Style Transfer (Q)
|
100% |
87946
113.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15967
589.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16313
602.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11822
438.0 IPS |
|
|
Text Classification (SP)
|
100% |
1085
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
514
685.8 IPS |
|
|
Text Classification (Q)
|
93% |
726
975.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1106
19.1 IPS |
