MacBook Air (2022)
Geekbench AI Score
3214
Single Precision Score
5664
Half Precision Score
4778
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:02 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1026
190.7 IPS |
|
|
Image Classification (HP)
|
100% |
1636
304.2 IPS |
|
|
Image Classification (Q)
|
96% |
1229
229.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2641
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5912
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
14601
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12408
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
97% |
1936
154.2 IPS |
|
|
Object Detection (Q)
|
94% |
1876
149.5 IPS |
|
|
Face Detection (SP)
|
100% |
2792
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
5551
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3301
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5076
39.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10514
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7486
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16870
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28570
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23781
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3566
131.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4949
182.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3630
134.0 IPS |
|
|
Text Classification (SP)
|
99% |
4045
5.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6301
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6299
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3273
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6114
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6113
105.6 IPS |
