MacBook Air (15-inch, 2025)
Geekbench AI Score
4923
Single Precision Score
36897
Half Precision Score
50973
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | February 17 2026 10:08 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | MacBook Air (15-inch, 2025) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2090
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
18287
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
24348
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22313
361.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30542
495.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10030
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122911
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232149
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
19304
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26124
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4256
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
43067
511.7 IPS |
|
|
Face Detection (Q)
|
100% |
60485
718.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8503
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99455
766.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160551
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24056
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233170
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
320271
413.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6041
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51610
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83196
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5680
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4520
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16500
284.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18150
313.7 IPS |
