MacBook Air (13-inch, 2025)
Geekbench AI Score
4962
Single Precision Score
36109
Half Precision Score
51163
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Trinity33R |
| Upload Date | February 03 2026 11:48 AM |
| Views | 13 |
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% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
16837
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
24137
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21725
352.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30929
501.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10055
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123536
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232548
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
17842
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25731
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
43059
511.6 IPS |
|
|
Face Detection (Q)
|
100% |
59750
710.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8604
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99286
764.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
166497
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24501
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
229390
294.9 IPS |
|
|
Style Transfer (Q)
|
96% |
319917
412.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6070
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51349
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85487
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5587
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5516
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4597
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16616
286.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18335
316.8 IPS |
