Mac Studio
Geekbench AI Score
8539
Single Precision Score
8761
Half Precision Score
2753
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | vinebeat |
| Upload Date | September 06 2024 10:46 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
4314
802.3 IPS |
|
|
Image Classification (HP)
|
100% |
4408
819.7 IPS |
|
|
Image Classification (Q)
|
97% |
3295
614.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8269
134.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8208
133.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7768
125.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
46748
54.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
48835
57.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
43175
50.6 IPS |
|
|
Object Detection (SP)
|
100% |
4454
353.3 IPS |
|
|
Object Detection (HP)
|
100% |
4729
375.1 IPS |
|
|
Object Detection (Q)
|
92% |
3592
286.7 IPS |
|
|
Face Detection (SP)
|
100% |
16463
195.6 IPS |
|
|
Face Detection (HP)
|
100% |
15364
182.6 IPS |
|
|
Face Detection (Q)
|
100% |
11510
136.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23406
180.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23952
184.5 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
150.3 IPS |
|
|
Style Transfer (SP)
|
100% |
79033
101.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93455
120.1 IPS |
|
|
Style Transfer (Q)
|
96% |
82208
106.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15987
590.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16392
605.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11863
438.0 IPS |
|
|
Text Classification (SP)
|
100% |
489
652.9 IPS |
|
|
Text Classification (HP)
|
100% |
504
672.9 IPS |
|
|
Text Classification (Q)
|
93% |
513
688.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1123
19.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1095
18.9 IPS |
