Mac16,9
Geekbench AI Score
5586
Single Precision Score
9222
Half Precision Score
7125
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ioanton |
| Upload Date | May 31 2025 10:06 PM |
| Views | 4 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2120
394.2 IPS |
|
|
Image Classification (HP)
|
100% |
3092
575.0 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3457
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3931
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18133
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32105
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
25046
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2629
208.5 IPS |
|
|
Object Detection (HP)
|
97% |
3864
307.6 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
4836
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
7974
94.7 IPS |
|
|
Face Detection (Q)
|
100% |
4647
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8842
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14892
115.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10482
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26345
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53995
69.4 IPS |
|
|
Style Transfer (Q)
|
96% |
40825
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10154
374.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5687
210.0 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5523
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6201
106.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9334
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9363
161.8 IPS |
