MacBook Air (2022)
Geekbench AI Score
2459
Single Precision Score
21500
Half Precision Score
25447
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:17 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 | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1217
226.4 IPS |
|
|
Image Classification (HP)
|
100% |
11970
2.23 KIPS |
|
|
Image Classification (Q)
|
97% |
14055
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
983
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14024
227.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21635
350.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4962
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
105752
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104136
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1139
90.3 IPS |
|
|
Object Detection (HP)
|
99% |
14187
1.13 KIPS |
|
|
Object Detection (Q)
|
89% |
17261
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
2559
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
29458
350.0 IPS |
|
|
Face Detection (Q)
|
100% |
46182
548.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4429
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
69757
537.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
65293
510.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7314
9.40 IPS |
|
|
Style Transfer (HP)
|
100% |
152028
195.4 IPS |
|
|
Style Transfer (Q)
|
96% |
178214
230.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3490
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31648
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25769
951.5 IPS |
|
|
Text Classification (SP)
|
99% |
2867
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
3135
4.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5238
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2704
46.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2873
49.6 IPS |
