Mac16,9
Geekbench AI Score
5626
Single Precision Score
9341
Half Precision Score
7202
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | c_wich |
| Upload Date | September 13 2025 10:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2131
396.4 IPS |
|
|
Image Classification (HP)
|
100% |
3086
573.9 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3574
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3948
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18099
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32812
38.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
25216
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
2606
206.7 IPS |
|
|
Object Detection (HP)
|
97% |
3893
309.9 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4911
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
8250
98.0 IPS |
|
|
Face Detection (Q)
|
100% |
4789
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8887
68.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15308
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10635
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26612
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
52807
67.9 IPS |
|
|
Style Transfer (Q)
|
96% |
40940
52.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6166
227.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10439
385.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5723
211.3 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5466
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5504
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6169
106.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9438
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9605
166.0 IPS |
