MacBook Air (2022)
Geekbench AI Score
3117
Single Precision Score
27802
Half Precision Score
31328
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 09:47 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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 | 3.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1137
211.4 IPS |
|
|
Image Classification (HP)
|
100% |
15063
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
16083
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19036
308.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24247
393.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5205
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
104949
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
107238
125.7 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.2 IPS |
|
|
Object Detection (HP)
|
99% |
15643
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17617
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2445
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
34203
406.4 IPS |
|
|
Face Detection (Q)
|
100% |
46014
546.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5076
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86757
668.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
112560
880.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15914
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
203457
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
189713
244.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3421
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41377
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48991
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
3960
5.29 KIPS |
|
|
Text Classification (HP)
|
99% |
6201
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6413
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3266
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4004
69.2 IPS |
