Mac Studio
Geekbench AI Score
3759
Single Precision Score
5672
Half Precision Score
4901
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | cwiltgen |
| Upload Date | August 15 2024 10:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
2033
378.1 IPS |
|
|
Image Classification (Q)
|
99% |
2022
377.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2402
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11081
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21395
25.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16621
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2353
187.3 IPS |
|
|
Object Detection (Q)
|
94% |
1745
139.1 IPS |
|
|
Face Detection (SP)
|
100% |
3380
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
5067
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
3171
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5898
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10787
83.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
11031
85.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22339
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33615
43.2 IPS |
|
|
Style Transfer (Q)
|
100% |
33656
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4352
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6340
234.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3988
147.8 IPS |
|
|
Text Classification (SP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3645
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3674
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3329
57.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3291
56.9 IPS |
