MacBook Air (13-inch, 2025)
Geekbench AI Score
4792
Single Precision Score
36575
Half Precision Score
51849
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | foolsmac |
| Upload Date | February 05 2026 01:19 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D122) |
| 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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2045
380.3 IPS |
|
|
Image Classification (HP)
|
100% |
17410
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
24646
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2037
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22305
361.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31039
503.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9791
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122228
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
229933
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2411
191.2 IPS |
|
|
Object Detection (HP)
|
100% |
19489
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
26249
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4049
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
42221
501.7 IPS |
|
|
Face Detection (Q)
|
100% |
62820
746.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8067
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99153
763.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169748
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
22722
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232652
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
319586
412.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5958
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52321
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86150
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3284
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5656
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5723
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4475
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16070
276.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18101
312.8 IPS |
