Mac Studio
Geekbench AI Score
3734
Single Precision Score
5727
Half Precision Score
4708
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pedrom |
| Upload Date | November 12 2024 06:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1324
246.3 IPS |
|
|
Image Classification (HP)
|
100% |
2024
376.5 IPS |
|
|
Image Classification (Q)
|
96% |
1469
274.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2663
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11078
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21743
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17093
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.8 IPS |
|
|
Object Detection (HP)
|
97% |
2332
185.7 IPS |
|
|
Object Detection (Q)
|
94% |
1710
136.3 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
5488
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3165
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5972
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10803
83.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7344
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22130
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34505
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26900
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6140
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3987
147.2 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3917
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3886
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3369
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3174
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4833
83.5 IPS |
