MacBook Air (2022)
Geekbench AI Score
6404
Single Precision Score
7037
Half Precision Score
6543
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 12:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3364
625.6 IPS |
|
|
Image Classification (HP)
|
100% |
3210
596.9 IPS |
|
|
Image Classification (Q)
|
96% |
2943
549.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4817
78.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4894
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4679
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19922
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21336
24.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
20630
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
3225
255.8 IPS |
|
|
Object Detection (HP)
|
100% |
3246
257.5 IPS |
|
|
Object Detection (Q)
|
92% |
2890
230.7 IPS |
|
|
Face Detection (SP)
|
100% |
9343
111.0 IPS |
|
|
Face Detection (HP)
|
100% |
10340
122.9 IPS |
|
|
Face Detection (Q)
|
100% |
8542
101.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13701
105.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14464
111.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
13249
103.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36125
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40249
51.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39145
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7789
287.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8256
304.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7073
261.2 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3806
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3783
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1447
24.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1478
25.5 IPS |
