MacBook Air (2022)
Geekbench AI Score
3018
Single Precision Score
24731
Half Precision Score
25577
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:30 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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1170
217.6 IPS |
|
|
Image Classification (HP)
|
100% |
10748
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
13056
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18560
300.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22294
361.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4654
5.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
53643
62.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
60472
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
1197
94.9 IPS |
|
|
Object Detection (HP)
|
99% |
15639
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
16999
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2469
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
34342
408.1 IPS |
|
|
Face Detection (Q)
|
100% |
46355
550.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4661
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86101
663.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
110462
864.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15148
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
202078
259.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119697
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3614
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40051
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49866
1.84 KIPS |
|
|
Text Classification (SP)
|
99% |
4092
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
6227
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4953
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3309
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2646
45.7 IPS |
