Mac16,9
Geekbench AI Score
5370
Single Precision Score
8977
Half Precision Score
6949
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | TheTrailGeek |
| Upload Date | March 19 2025 09:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1956
363.8 IPS |
|
|
Image Classification (HP)
|
100% |
3098
576.1 IPS |
|
|
Image Classification (Q)
|
96% |
2160
403.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2293
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3481
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3785
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17228
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31280
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
25069
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (HP)
|
97% |
3892
309.8 IPS |
|
|
Object Detection (Q)
|
94% |
2606
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
4481
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
7913
94.0 IPS |
|
|
Face Detection (Q)
|
100% |
4369
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8212
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14467
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10104
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26344
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51185
65.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38901
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6370
235.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9632
355.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5993
221.3 IPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5105
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5220
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5902
101.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8992
155.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9162
158.3 IPS |
