MacBook Air (2022)
Geekbench AI Score
3577
Single Precision Score
4015
Half Precision Score
3661
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | matta |
| Upload Date | October 27 2025 01:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3739
695.2 IPS |
|
|
Image Classification (HP)
|
100% |
3739
695.3 IPS |
|
|
Image Classification (Q)
|
96% |
3416
637.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5779
93.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5966
96.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5701
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24674
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26858
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26284
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
3635
288.3 IPS |
|
|
Object Detection (HP)
|
100% |
3781
299.9 IPS |
|
|
Object Detection (Q)
|
92% |
3520
281.0 IPS |
|
|
Face Detection (SP)
|
100% |
10290
122.3 IPS |
|
|
Face Detection (HP)
|
100% |
11987
142.4 IPS |
|
|
Face Detection (Q)
|
100% |
8695
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16766
129.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18623
143.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
16667
130.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42464
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49071
63.1 IPS |
|
|
Style Transfer (Q)
|
96% |
47742
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10634
392.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11417
421.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9083
335.4 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3849
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3827
5.14 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
11.9 IPS |
|
|
Machine Translation (HP)
|
0% |
0
12.0 IPS |
|
|
Machine Translation (Q)
|
0% |
0
10.5 IPS |
