MacBook Air (2022)
Geekbench AI Score
3307
Single Precision Score
27793
Half Precision Score
30379
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 06:56 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1251
232.6 IPS |
|
|
Image Classification (HP)
|
100% |
13699
2.55 KIPS |
|
|
Image Classification (Q)
|
97% |
14983
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19270
312.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24281
393.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5822
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
105865
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106350
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (HP)
|
99% |
15833
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17627
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2848
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
34760
413.0 IPS |
|
|
Face Detection (Q)
|
100% |
46239
549.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5117
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87174
671.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
101723
795.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16983
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
201898
259.5 IPS |
|
|
Style Transfer (Q)
|
96% |
185646
239.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3510
129.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41887
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43700
1.61 KIPS |
|
|
Text Classification (SP)
|
99% |
4046
5.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6327
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6409
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3834
66.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4015
69.4 IPS |
