Mac16,9
Geekbench AI Score
6000
Single Precision Score
9160
Half Precision Score
7030
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | topgun966 |
| Upload Date | March 12 2025 08:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2151
400.0 IPS |
|
|
Image Classification (HP)
|
100% |
3077
572.2 IPS |
|
|
Image Classification (Q)
|
96% |
2202
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2663
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3728
60.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3964
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19371
22.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31532
36.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24972
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (HP)
|
97% |
3900
310.5 IPS |
|
|
Object Detection (Q)
|
94% |
2705
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
4797
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8207
97.5 IPS |
|
|
Face Detection (Q)
|
100% |
4741
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9021
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14511
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10328
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36211
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52000
66.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39075
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7256
267.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9775
360.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5419
200.1 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5474
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5405
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6282
108.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8905
153.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8932
154.4 IPS |
