MacBook Air (13-inch, 2025) Mac16,12
Geekbench AI Score
4808
Single Precision Score
7911
Half Precision Score
6338
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | June 01 2025 09:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
3327
618.7 IPS |
|
|
Image Classification (Q)
|
96% |
2317
432.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3156
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3593
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9986
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19444
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16643
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.2 IPS |
|
|
Object Detection (HP)
|
97% |
3757
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
4193
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
7511
89.2 IPS |
|
|
Face Detection (Q)
|
100% |
4355
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8597
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14594
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10228
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21869
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38382
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31780
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6114
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7244
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5706
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5419
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7199
124.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7330
126.7 IPS |
