MacBook Air (2022)
Geekbench AI Score
3352
Single Precision Score
6009
Half Precision Score
5002
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 09:35 PM |
| Views | 9 |
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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1265
235.2 IPS |
|
|
Image Classification (HP)
|
100% |
2444
454.5 IPS |
|
|
Image Classification (Q)
|
96% |
1705
318.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2700
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5995
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
14789
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12103
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
97% |
2758
219.6 IPS |
|
|
Object Detection (Q)
|
94% |
2000
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
2786
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5753
68.4 IPS |
|
|
Face Detection (Q)
|
100% |
3432
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5137
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10747
83.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7643
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17295
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28745
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23777
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3569
131.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4888
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3578
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
4107
5.48 KIPS |
|
|
Text Classification (HP)
|
99% |
6274
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6197
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5076
87.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6367
110.0 IPS |
