MacBook Air (2022)
Geekbench AI Score
6714
Single Precision Score
7470
Half Precision Score
6827
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | March 10 2026 08:40 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3382
628.9 IPS |
|
|
Image Classification (HP)
|
100% |
3212
597.3 IPS |
|
|
Image Classification (Q)
|
94% |
3047
569.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4875
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4957
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4725
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19834
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21950
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
21552
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
3237
256.8 IPS |
|
|
Object Detection (HP)
|
100% |
3251
257.9 IPS |
|
|
Object Detection (Q)
|
91% |
3141
251.0 IPS |
|
|
Face Detection (SP)
|
100% |
9757
115.9 IPS |
|
|
Face Detection (HP)
|
100% |
10704
127.2 IPS |
|
|
Face Detection (Q)
|
100% |
9866
117.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13630
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15037
115.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
14286
111.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36387
46.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40884
52.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39533
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7807
288.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8492
313.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7378
272.5 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3899
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2098
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2185
37.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1408
24.3 IPS |
