MacBook Air (2022)
Geekbench AI Score
3341
Single Precision Score
27591
Half Precision Score
28877
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 11:26 AM |
| Views | 11 |
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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
14012
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
15790
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19388
314.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24419
395.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6028
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
102992
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
84053
98.5 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
99% |
15908
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
13358
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
2818
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
34866
414.3 IPS |
|
|
Face Detection (Q)
|
100% |
47033
558.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5246
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
79923
615.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
103259
807.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17376
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
199149
256.0 IPS |
|
|
Style Transfer (Q)
|
96% |
181479
234.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3672
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41923
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41102
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3842
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
6152
8.21 KIPS |
|
|
Text Classification (Q)
|
92% |
6172
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3476
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4014
69.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4166
72.0 IPS |
