MacBook Air (13-inch, 2025)
Geekbench AI Score
4817
Single Precision Score
36837
Half Precision Score
51870
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | korneyka3000 |
| Upload Date | December 25 2025 07:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
17290
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
25887
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22064
357.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28837
467.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9991
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122623
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232109
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2405
190.8 IPS |
|
|
Object Detection (HP)
|
100% |
18828
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26498
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4234
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
44089
523.9 IPS |
|
|
Face Detection (Q)
|
100% |
63705
757.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8588
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99083
763.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168038
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21630
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234142
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296385
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6138
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49604
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84078
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6226
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6309
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16537
284.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18248
315.3 IPS |
