MacBook Air (13-inch, 2025)
Geekbench AI Score
4922
Single Precision Score
36138
Half Precision Score
51220
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nenemiku |
| Upload Date | March 16 2026 06:19 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2090
388.7 IPS |
|
|
Image Classification (HP)
|
100% |
16620
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
24481
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21564
349.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
29867
484.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10017
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122528
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232671
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
17807
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26243
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4276
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
43164
512.9 IPS |
|
|
Face Detection (Q)
|
100% |
60138
714.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8509
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99579
767.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
164680
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24229
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
231916
298.1 IPS |
|
|
Style Transfer (Q)
|
96% |
319607
412.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6097
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52099
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86793
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5693
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5582
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4508
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16434
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18154
313.7 IPS |
