MacBook Air (13-inch, 2025)
Geekbench AI Score
5114
Single Precision Score
38263
Half Precision Score
54375
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | chanko_johnpork |
| Upload Date | April 02 2026 03:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
2108
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
16795
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
24611
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21587
349.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30462
493.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8832
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122713
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232912
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
100% |
17836
1.41 KIPS |
|
|
Object Detection (Q)
|
89% |
26444
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4516
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
43121
512.4 IPS |
|
|
Face Detection (Q)
|
100% |
66511
790.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8166
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99189
764.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169839
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
22878
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233488
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
288937
372.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5314
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50775
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83712
3.09 KIPS |
|
|
Text Classification (SP)
|
99% |
6115
8.16 KIPS |
|
|
Text Classification (HP)
|
99% |
10138
13.5 KIPS |
|
|
Text Classification (Q)
|
92% |
9834
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4469
77.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16490
284.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18213
314.7 IPS |
