MacBook Air (13-inch, 2025)
Geekbench AI Score
4927
Single Precision Score
35933
Half Precision Score
50723
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | ntpudpp |
| Upload Date | January 26 2026 11:03 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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% |
2092
389.0 IPS |
|
|
Image Classification (HP)
|
100% |
16556
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22742
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22227
360.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30957
501.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10104
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122673
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231324
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
17864
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26515
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4259
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
42922
510.0 IPS |
|
|
Face Detection (Q)
|
100% |
60331
716.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8481
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98597
759.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
165800
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24434
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
229683
295.3 IPS |
|
|
Style Transfer (Q)
|
96% |
320292
413.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6065
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51861
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83711
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5416
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5414
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4529
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16303
280.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17982
310.7 IPS |
