MacBook Air (2022)
Geekbench AI Score
3025
Single Precision Score
27163
Half Precision Score
30316
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 12:52 PM |
| Views | 7 |
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 | 3.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1202
223.6 IPS |
|
|
Image Classification (HP)
|
100% |
14635
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
15381
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18697
303.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23653
383.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5616
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
102377
119.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102679
120.3 IPS |
|
|
Object Detection (SP)
|
100% |
1256
99.6 IPS |
|
|
Object Detection (HP)
|
99% |
15749
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
16703
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
33623
399.5 IPS |
|
|
Face Detection (Q)
|
100% |
45048
535.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4829
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84941
654.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109469
856.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15498
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
199846
256.9 IPS |
|
|
Style Transfer (Q)
|
96% |
186606
240.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3329
122.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41299
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48880
1.80 KIPS |
|
|
Text Classification (SP)
|
99% |
3917
5.23 KIPS |
|
|
Text Classification (HP)
|
99% |
6033
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5967
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2669
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3486
60.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3916
67.7 IPS |
