MacBook Air (2022)
Geekbench AI Score
2953
Single Precision Score
23280
Half Precision Score
28223
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:53 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1146
213.2 IPS |
|
|
Image Classification (HP)
|
100% |
13801
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
15369
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15479
250.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21767
352.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3552
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
81855
95.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104933
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1290
102.3 IPS |
|
|
Object Detection (HP)
|
99% |
14208
1.13 KIPS |
|
|
Object Detection (Q)
|
89% |
15969
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
2565
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
24916
296.1 IPS |
|
|
Face Detection (Q)
|
100% |
40890
485.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4482
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
60445
465.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
94757
741.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14261
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
163749
210.5 IPS |
|
|
Style Transfer (Q)
|
96% |
170859
220.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3537
130.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36494
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43952
1.62 KIPS |
|
|
Text Classification (SP)
|
99% |
4163
5.56 KIPS |
|
|
Text Classification (HP)
|
99% |
6364
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6389
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3080
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3287
56.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3077
53.2 IPS |
