MacBook Air (15-inch, 2025)
Geekbench AI Score
4861
Single Precision Score
37378
Half Precision Score
53036
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Napolitain |
| Upload Date | March 28 2026 09:34 PM |
| Views | 5 |
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 (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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2037
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
18437
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
27639
5.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2057
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22356
362.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
29794
483.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9986
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123147
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232831
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2387
189.3 IPS |
|
|
Object Detection (HP)
|
100% |
19068
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26957
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4044
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
44010
522.9 IPS |
|
|
Face Detection (Q)
|
100% |
61450
730.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8369
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100394
773.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
171710
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24003
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234925
302.0 IPS |
|
|
Style Transfer (Q)
|
96% |
322015
415.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53084
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89338
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3358
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5742
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4467
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17385
299.5 IPS |
|
|
Machine Translation (Q)
|
98% |
19231
332.3 IPS |
