Mac Studio
Geekbench AI Score
3722
Single Precision Score
5782
Half Precision Score
4685
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | joostl |
| Upload Date | February 07 2025 02:59 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1302
242.2 IPS |
|
|
Image Classification (HP)
|
100% |
2004
372.6 IPS |
|
|
Image Classification (Q)
|
96% |
1457
272.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2335
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2647
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11026
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21732
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17075
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2334
185.8 IPS |
|
|
Object Detection (Q)
|
94% |
1691
134.8 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
5278
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
3105
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5805
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10818
83.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7394
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22377
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35288
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27275
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6287
232.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3966
146.4 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4011
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3872
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3468
59.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4762
82.3 IPS |
