Mac Studio (M1 Max, 2022) Mac Studio
Geekbench AI Score
3770
Single Precision Score
5774
Half Precision Score
4747
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | skyzyx |
| Upload Date | November 09 2024 08:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1327
246.8 IPS |
|
|
Image Classification (HP)
|
100% |
2024
376.5 IPS |
|
|
Image Classification (Q)
|
96% |
1488
278.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2667
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11088
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21517
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17004
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2376
189.2 IPS |
|
|
Object Detection (Q)
|
94% |
1754
139.8 IPS |
|
|
Face Detection (SP)
|
100% |
3326
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
5286
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
3151
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5927
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10446
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7424
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22288
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35152
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26533
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4392
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6357
234.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4098
151.3 IPS |
|
|
Text Classification (SP)
|
100% |
2244
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3707
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3902
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3614
62.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4955
85.6 IPS |
