MacBook Air (2022)
Geekbench AI Score
3016
Single Precision Score
27355
Half Precision Score
30826
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:42 AM |
| Views | 7 |
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 | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1019
189.5 IPS |
|
|
Image Classification (HP)
|
100% |
13540
2.52 KIPS |
|
|
Image Classification (Q)
|
97% |
15846
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18703
303.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
22781
369.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5683
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
105784
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105746
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1306
103.6 IPS |
|
|
Object Detection (HP)
|
99% |
15585
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17273
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
2633
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
34356
408.2 IPS |
|
|
Face Detection (Q)
|
100% |
46346
550.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4670
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84629
652.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
107550
841.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14103
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202073
259.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191347
246.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3359
124.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42029
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50185
1.85 KIPS |
|
|
Text Classification (SP)
|
99% |
4024
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
6415
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6385
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2638
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3846
66.5 IPS |
