MacBook Air (2022)
Geekbench AI Score
3131
Single Precision Score
27237
Half Precision Score
30133
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 07:11 AM |
| 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 | 3.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1078
200.4 IPS |
|
|
Image Classification (HP)
|
100% |
12228
2.27 KIPS |
|
|
Image Classification (Q)
|
97% |
15092
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18307
296.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
22497
364.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5828
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
105230
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105921
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
1171
92.9 IPS |
|
|
Object Detection (HP)
|
99% |
15593
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17722
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2805
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
33603
399.3 IPS |
|
|
Face Detection (Q)
|
100% |
45318
538.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4973
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87350
673.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
111135
869.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16604
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204242
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
190449
245.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3613
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42090
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44981
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
6207
8.28 KIPS |
|
|
Text Classification (Q)
|
92% |
6216
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3072
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3612
62.4 IPS |
