MacBook Air (2022)
Geekbench AI Score
2766
Single Precision Score
24483
Half Precision Score
28349
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:21 AM |
| Views | 10 |
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 | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1185
220.4 IPS |
|
|
Image Classification (HP)
|
100% |
9917
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
12121
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
16076
260.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18997
308.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5144
6.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
105317
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
97695
114.5 IPS |
|
|
Object Detection (SP)
|
100% |
1124
89.2 IPS |
|
|
Object Detection (HP)
|
99% |
14325
1.14 KIPS |
|
|
Object Detection (Q)
|
89% |
15298
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
2671
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
33915
403.0 IPS |
|
|
Face Detection (Q)
|
100% |
41676
495.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3897
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84953
654.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
108914
852.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13733
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
200327
257.5 IPS |
|
|
Style Transfer (Q)
|
96% |
175352
226.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3364
124.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41468
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49030
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
4056
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
6250
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6303
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2151
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3961
68.5 IPS |
