Mac Studio
Geekbench AI Score
3766
Single Precision Score
5765
Half Precision Score
4746
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | shafnitz |
| Upload Date | March 13 2025 04:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
2038
379.0 IPS |
|
|
Image Classification (Q)
|
96% |
1488
277.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2688
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11156
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22033
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17021
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
97% |
2344
186.6 IPS |
|
|
Object Detection (Q)
|
94% |
1724
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5192
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
3182
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5860
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10958
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7366
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22501
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34960
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26423
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4383
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6392
236.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4051
149.6 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4047
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3979
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3198
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4952
85.6 IPS |
