Mac Studio
Geekbench AI Score
3766
Single Precision Score
5763
Half Precision Score
4746
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | October 30 2024 12:48 PM |
| Views | 15 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2054
381.9 IPS |
|
|
Image Classification (Q)
|
96% |
1492
278.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11161
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22565
26.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16981
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
97% |
2362
188.0 IPS |
|
|
Object Detection (Q)
|
94% |
1739
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
3360
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
5132
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
3184
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5846
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10856
83.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7480
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22328
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35185
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26415
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6256
231.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4042
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4041
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3195
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4846
83.7 IPS |
