MacBook Air (2022)
Geekbench AI Score
6524
Single Precision Score
7326
Half Precision Score
6909
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 02:49 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3187
592.7 IPS |
|
|
Image Classification (HP)
|
100% |
3030
563.5 IPS |
|
|
Image Classification (Q)
|
94% |
2816
526.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4650
75.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4795
77.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4542
73.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18972
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21109
24.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
20556
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
2728
216.4 IPS |
|
|
Object Detection (HP)
|
100% |
3025
240.0 IPS |
|
|
Object Detection (Q)
|
91% |
2932
234.3 IPS |
|
|
Face Detection (SP)
|
100% |
8691
103.3 IPS |
|
|
Face Detection (HP)
|
100% |
10292
122.3 IPS |
|
|
Face Detection (Q)
|
100% |
9399
111.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12486
96.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13892
107.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
13277
103.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34707
44.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38839
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38155
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7344
271.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7902
291.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6987
258.0 IPS |
|
|
Text Classification (SP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
6309
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6264
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1734
29.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1544
26.7 IPS |
