MacBook Air (13-inch, 2025)
Geekbench AI Score
4905
Single Precision Score
36887
Half Precision Score
52081
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 02 2026 09:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Air (13-inch, 2025) |
| 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% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
18533
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
25802
4.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22546
365.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30750
498.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9932
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122709
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232487
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
17926
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26655
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4247
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
43622
518.3 IPS |
|
|
Face Detection (Q)
|
100% |
63385
753.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8549
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99670
767.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168195
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24071
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232799
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
318590
411.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6072
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52013
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84819
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5648
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5660
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4551
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17068
294.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18317
316.5 IPS |
