MacBook Air (13-inch, 2025) Mac16,12
Geekbench AI Score
4808
Single Precision Score
7864
Half Precision Score
6314
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | suvash |
| Upload Date | April 25 2025 04:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.3 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3181
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3592
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9988
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19434
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16652
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2433
193.0 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2698
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4147
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
7334
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
4328
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8608
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14597
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10221
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21778
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38289
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31784
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6149
227.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7164
264.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5024
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5557
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5310
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4405
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7106
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7171
123.9 IPS |
