Mac16,13
Geekbench AI Score
4697
Single Precision Score
7790
Half Precision Score
6293
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | attibug |
| Upload Date | March 25 2025 02:57 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
3301
613.9 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3228
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3586
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9853
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19069
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16467
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (HP)
|
97% |
3729
296.8 IPS |
|
|
Object Detection (Q)
|
94% |
2679
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
3837
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7485
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4385
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8289
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14529
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10115
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25114
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38292
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31457
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5811
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6870
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4861
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
3140
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5568
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5692
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3879
66.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6825
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6995
120.9 IPS |
