Mac Studio
Geekbench AI Score
3648
Single Precision Score
14660
Half Precision Score
14337
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | flyingzucchini |
| Upload Date | November 16 2025 02:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (HP)
|
100% |
6031
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5760
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8850
143.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9306
150.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10477
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
67398
78.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
61138
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
6861
545.7 IPS |
|
|
Object Detection (Q)
|
91% |
6456
515.8 IPS |
|
|
Face Detection (SP)
|
100% |
3375
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
13129
156.0 IPS |
|
|
Face Detection (Q)
|
100% |
12032
143.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5716
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
44777
345.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
45994
359.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22185
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
115058
147.9 IPS |
|
|
Style Transfer (Q)
|
96% |
109937
141.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4136
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24041
887.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25516
942.2 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4250
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4114
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2689
46.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2716
46.9 IPS |
