MacBook Air (2022)
Geekbench AI Score
3177
Single Precision Score
25994
Half Precision Score
29446
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1221
227.1 IPS |
|
|
Image Classification (HP)
|
100% |
14103
2.62 KIPS |
|
|
Image Classification (Q)
|
97% |
15534
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18894
306.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20734
336.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5986
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
92803
108.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
84763
99.3 IPS |
|
|
Object Detection (SP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (HP)
|
99% |
15914
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17790
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2868
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
34433
409.1 IPS |
|
|
Face Detection (Q)
|
100% |
46403
551.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5146
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85628
659.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
110498
864.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17144
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201273
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
190690
246.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3611
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35400
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40918
1.51 KIPS |
|
|
Text Classification (SP)
|
99% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
6227
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6233
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2736
47.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4047
69.9 IPS |
