Mac16,9
Geekbench AI Score
5623
Single Precision Score
9259
Half Precision Score
7108
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ceolaf |
| Upload Date | May 19 2025 08:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2123
394.7 IPS |
|
|
Image Classification (HP)
|
100% |
3100
576.5 IPS |
|
|
Image Classification (Q)
|
96% |
2210
412.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3678
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3978
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18150
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32399
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24699
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2630
208.6 IPS |
|
|
Object Detection (HP)
|
97% |
3902
310.6 IPS |
|
|
Object Detection (Q)
|
94% |
2707
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4837
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
7834
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
4671
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8892
68.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14807
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10242
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27117
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53196
68.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39352
50.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10339
381.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5842
215.7 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5397
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5432
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6183
106.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9331
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9380
162.1 IPS |
