MacBook Air (2022)
Geekbench AI Score
2001
Single Precision Score
3553
Half Precision Score
2926
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | August 22 2025 04:15 PM |
| Views | 5 |
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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
839
156.1 IPS |
|
|
Image Classification (HP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
403
6.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1486
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3884
4.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
9103
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
7262
8.51 IPS |
|
|
Object Detection (SP)
|
100% |
984
78.1 IPS |
|
|
Object Detection (HP)
|
97% |
1735
138.1 IPS |
|
|
Object Detection (Q)
|
94% |
1251
99.7 IPS |
|
|
Face Detection (SP)
|
100% |
2056
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
3617
43.0 IPS |
|
|
Face Detection (Q)
|
100% |
2100
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3544
27.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6899
53.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
4798
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11476
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16919
21.7 IPS |
|
|
Style Transfer (Q)
|
96% |
13998
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2569
94.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3206
118.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2333
86.2 IPS |
|
|
Text Classification (SP)
|
100% |
1556
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2491
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2488
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2384
41.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4242
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4226
73.0 IPS |
