Mac Studio
Geekbench AI Score
2746
Single Precision Score
4165
Half Precision Score
3631
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | TheKenLim |
| Upload Date | February 01 2025 11:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
1607
298.9 IPS |
|
|
Image Classification (Q)
|
96% |
1259
235.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1574
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5564
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
13118
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11344
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
97% |
1892
150.6 IPS |
|
|
Object Detection (Q)
|
94% |
1463
116.6 IPS |
|
|
Face Detection (SP)
|
100% |
2602
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3908
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
2630
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5029
38.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
7863
60.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6029
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14645
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23559
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20093
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3291
121.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4200
155.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3317
122.5 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3600
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3571
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1569
27.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3178
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3217
55.6 IPS |
