Mac Studio
Geekbench AI Score
3373
Single Precision Score
15698
Half Precision Score
15978
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | thnzone6 |
| Upload Date | September 05 2025 09:31 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
7106
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6834
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8786
142.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10373
168.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8401
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
71719
83.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67743
79.4 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
99% |
7615
605.8 IPS |
|
|
Object Detection (Q)
|
91% |
7198
575.2 IPS |
|
|
Face Detection (SP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
14810
176.0 IPS |
|
|
Face Detection (Q)
|
100% |
14304
170.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5591
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52759
406.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
54271
424.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21608
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122299
157.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116749
150.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4110
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24764
914.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27278
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1980
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3318
4.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3713
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2455
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3419
59.1 IPS |
