MacBook Air (2022)
Geekbench AI Score
3347
Single Precision Score
27959
Half Precision Score
30900
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 22 2026 04:41 PM |
| Views | 13 |
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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1240
230.5 IPS |
|
|
Image Classification (HP)
|
100% |
14177
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
15246
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19252
312.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23960
388.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6088
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
104858
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106412
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
99% |
16042
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
17548
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2921
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
34457
409.4 IPS |
|
|
Face Detection (Q)
|
100% |
46608
553.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5227
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86895
669.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
110180
861.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17415
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202161
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
189936
245.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3668
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41593
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46650
1.72 KIPS |
|
|
Text Classification (SP)
|
99% |
4003
5.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6356
8.48 KIPS |
|
|
Text Classification (Q)
|
92% |
6143
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3498
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3974
68.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4163
71.9 IPS |
