MacBook Air (2022)
Geekbench AI Score
3256
Single Precision Score
27619
Half Precision Score
30834
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 06:36 PM |
| Views | 6 |
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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1256
233.6 IPS |
|
|
Image Classification (HP)
|
100% |
13716
2.55 KIPS |
|
|
Image Classification (Q)
|
97% |
14958
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19141
310.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24413
395.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5949
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
104929
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106526
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (HP)
|
99% |
15523
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17504
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2887
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
34406
408.8 IPS |
|
|
Face Detection (Q)
|
100% |
46815
556.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5111
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
85843
661.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
111027
868.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17012
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204230
262.5 IPS |
|
|
Style Transfer (Q)
|
96% |
190396
245.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3268
120.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41574
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50439
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
3933
5.25 KIPS |
|
|
Text Classification (HP)
|
99% |
6405
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6115
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3013
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3738
64.6 IPS |
