Mac Studio
Geekbench AI Score
3730
Single Precision Score
5733
Half Precision Score
4691
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pb56 |
| Upload Date | November 18 2024 01:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
1320
245.6 IPS |
|
|
Image Classification (HP)
|
100% |
2040
379.3 IPS |
|
|
Image Classification (Q)
|
96% |
1494
279.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2699
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11139
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22649
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16737
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2379
189.4 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
5278
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
3121
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5945
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10988
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7345
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22426
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34966
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26835
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4320
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6153
227.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4056
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3726
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3702
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3228
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4756
82.2 IPS |
