MacBook Air (2022)
Geekbench AI Score
2131
Single Precision Score
3381
Half Precision Score
2812
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | August 22 2025 04:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 1.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
823
153.0 IPS |
|
|
Image Classification (HP)
|
100% |
1473
274.0 IPS |
|
|
Image Classification (Q)
|
96% |
1043
194.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1517
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4182
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
9513
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
4405
5.16 IPS |
|
|
Object Detection (SP)
|
100% |
721
57.2 IPS |
|
|
Object Detection (HP)
|
97% |
714
56.8 IPS |
|
|
Object Detection (Q)
|
94% |
1251
99.7 IPS |
|
|
Face Detection (SP)
|
100% |
2073
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
3638
43.2 IPS |
|
|
Face Detection (Q)
|
100% |
2046
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3367
25.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6450
49.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4795
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11442
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17844
22.9 IPS |
|
|
Style Transfer (Q)
|
96% |
14650
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2619
96.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3225
119.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2353
86.9 IPS |
|
|
Text Classification (SP)
|
100% |
1567
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2521
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
2488
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2459
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4194
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4220
72.9 IPS |
