Mac Studio
Geekbench AI Score
3732
Single Precision Score
5984
Half Precision Score
4780
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | srkses |
| Upload Date | April 11 2025 06:47 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
2080
386.9 IPS |
|
|
Image Classification (Q)
|
96% |
1528
285.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2660
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11020
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21238
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17529
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.3 IPS |
|
|
Object Detection (HP)
|
97% |
2341
186.4 IPS |
|
|
Object Detection (Q)
|
94% |
1726
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5500
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
3030
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5781
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10112
78.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7056
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22108
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35079
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27456
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4511
166.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6036
222.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4225
156.0 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4069
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4066
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5053
87.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5031
86.9 IPS |
