MacBook Air (13-inch, 2025)
Geekbench AI Score
4943
Single Precision Score
36630
Half Precision Score
50947
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | EFG |
| Upload Date | January 09 2026 02:44 AM |
| Views | 11 |
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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2129
395.9 IPS |
|
|
Image Classification (HP)
|
100% |
17117
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
23460
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22311
361.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30683
497.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10074
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122623
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232363
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2388
189.4 IPS |
|
|
Object Detection (HP)
|
100% |
18922
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
25428
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4295
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
43062
511.7 IPS |
|
|
Face Detection (Q)
|
100% |
59090
702.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8571
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99161
764.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
167608
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24282
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233313
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
321454
414.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6102
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53508
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84609
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5586
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5653
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4602
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16482
283.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18193
314.4 IPS |
