Mac Studio
Geekbench AI Score
3670
Single Precision Score
16521
Half Precision Score
16256
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | March 19 2025 10:22 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
6984
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6459
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9715
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10428
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10886
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
71799
83.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
67523
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
8105
644.8 IPS |
|
|
Object Detection (Q)
|
91% |
7543
602.7 IPS |
|
|
Face Detection (SP)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
15799
187.7 IPS |
|
|
Face Detection (Q)
|
100% |
14042
166.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5601
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
53253
410.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
55148
431.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22428
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121487
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
117921
152.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4391
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26511
978.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28768
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3831
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3725
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3037
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3697
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3840
66.4 IPS |
