MacBook Air (2022)
Geekbench AI Score
3228
Single Precision Score
27669
Half Precision Score
30836
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 02:00 PM |
| 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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1261
234.5 IPS |
|
|
Image Classification (HP)
|
100% |
13846
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
15375
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19518
316.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24456
396.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6040
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
104348
121.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104454
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
99% |
15915
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17755
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2879
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
34931
415.1 IPS |
|
|
Face Detection (Q)
|
100% |
43772
520.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5151
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84405
650.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
105619
826.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16607
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
194468
250.0 IPS |
|
|
Style Transfer (Q)
|
96% |
192398
248.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3555
131.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42179
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47904
1.77 KIPS |
|
|
Text Classification (SP)
|
99% |
4127
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6126
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6344
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3956
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4124
71.3 IPS |
