MacBook Air (2022)
Geekbench AI Score
3166
Single Precision Score
27413
Half Precision Score
30880
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 07:41 AM |
| Views | 12 |
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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1206
224.2 IPS |
|
|
Image Classification (HP)
|
100% |
12637
2.35 KIPS |
|
|
Image Classification (Q)
|
97% |
15474
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18564
300.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23311
377.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5746
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
105224
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105507
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (HP)
|
99% |
14894
1.18 KIPS |
|
|
Object Detection (Q)
|
89% |
17667
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2245
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
34707
412.4 IPS |
|
|
Face Detection (Q)
|
100% |
46496
552.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4930
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85832
661.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
111474
872.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17189
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203592
261.7 IPS |
|
|
Style Transfer (Q)
|
96% |
191896
247.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3619
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42425
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44668
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
4027
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
6428
8.58 KIPS |
|
|
Text Classification (Q)
|
92% |
6431
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3336
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4105
70.9 IPS |
