Mac16,9
Geekbench AI Score
5582
Single Precision Score
9241
Half Precision Score
7112
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 09:49 AM |
| Views | 3 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2131
396.2 IPS |
|
|
Image Classification (HP)
|
100% |
3118
579.8 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3630
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3970
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18063
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32322
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
25078
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2604
206.5 IPS |
|
|
Object Detection (HP)
|
97% |
3901
310.6 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4870
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
8072
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
4699
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8820
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14604
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10414
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26604
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
53505
68.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39945
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10218
377.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5757
212.6 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5365
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5422
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6137
105.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9208
159.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9193
158.9 IPS |
