Mac16,9
Geekbench AI Score
5662
Single Precision Score
9353
Half Precision Score
7176
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dzappone |
| Upload Date | May 01 2025 04:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.14 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
3140
584.0 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3635
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3921
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18496
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33099
38.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24804
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2604
206.6 IPS |
|
|
Object Detection (HP)
|
97% |
4000
318.5 IPS |
|
|
Object Detection (Q)
|
94% |
2748
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
4873
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
8022
95.3 IPS |
|
|
Face Detection (Q)
|
100% |
4635
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8820
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15369
118.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10672
83.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27529
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
52722
67.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39795
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6143
226.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10277
379.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6237
230.3 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5332
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5310
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6345
109.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9523
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9533
164.7 IPS |
