MacBook Air (13-inch, 2025)
Geekbench AI Score
6109
Single Precision Score
7360
Half Precision Score
6778
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | foolsmac |
| Upload Date | February 04 2026 07:07 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3285
611.0 IPS |
|
|
Image Classification (HP)
|
100% |
3451
641.7 IPS |
|
|
Image Classification (Q)
|
96% |
3287
613.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4741
76.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6501
105.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5547
89.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14300
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18482
21.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
15162
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3221
255.5 IPS |
|
|
Object Detection (HP)
|
100% |
3777
299.6 IPS |
|
|
Object Detection (Q)
|
91% |
3093
247.2 IPS |
|
|
Face Detection (SP)
|
100% |
9328
110.8 IPS |
|
|
Face Detection (HP)
|
100% |
10711
127.3 IPS |
|
|
Face Detection (Q)
|
100% |
10319
122.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12074
93.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14335
110.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
15286
119.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33002
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40588
52.2 IPS |
|
|
Style Transfer (Q)
|
96% |
46970
60.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8787
324.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9010
332.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7897
291.6 IPS |
|
|
Text Classification (SP)
|
100% |
1866
2.49 KIPS |
|
|
Text Classification (HP)
|
99% |
3148
4.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3098
4.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1687
29.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1322
22.8 IPS |
