Mac Studio
Geekbench AI Score
3756
Single Precision Score
5812
Half Precision Score
4728
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Rpalon |
| Upload Date | November 15 2024 02:24 AM |
| Views | 7 |
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% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
2040
379.4 IPS |
|
|
Image Classification (Q)
|
96% |
1500
280.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2685
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11160
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22636
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17112
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (HP)
|
97% |
2365
188.3 IPS |
|
|
Object Detection (Q)
|
94% |
1743
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
3368
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
5406
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3181
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5872
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10860
83.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7362
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22360
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35077
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26616
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4345
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6127
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4030
148.8 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3875
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3426
59.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4776
82.5 IPS |
