Mac16,9
Geekbench AI Score
5650
Single Precision Score
9319
Half Precision Score
7167
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tyc0746 |
| Upload Date | April 10 2025 04:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
3084
573.6 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2415
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3701
60.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3950
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18289
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33002
38.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24840
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2642
209.6 IPS |
|
|
Object Detection (HP)
|
97% |
3888
309.5 IPS |
|
|
Object Detection (Q)
|
94% |
2709
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
4901
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
7991
94.9 IPS |
|
|
Face Detection (Q)
|
100% |
4697
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8909
68.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14782
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10477
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26655
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53766
69.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40511
52.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6140
226.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10163
375.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5929
218.9 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5457
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6268
108.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9473
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9463
163.5 IPS |
