MacBook Air (2022)
Geekbench AI Score
2271
Single Precision Score
19249
Half Precision Score
24340
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:26 PM |
| Views | 6 |
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 | 2.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
924
171.9 IPS |
|
|
Image Classification (HP)
|
100% |
13864
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
13428
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17179
278.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16276
263.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2922
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
84273
98.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
44094
51.7 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
99% |
7347
584.4 IPS |
|
|
Object Detection (Q)
|
89% |
7125
570.3 IPS |
|
|
Face Detection (SP)
|
100% |
968
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
27960
332.2 IPS |
|
|
Face Detection (Q)
|
100% |
44991
534.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4137
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
68610
528.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
101042
790.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16313
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
99747
128.2 IPS |
|
|
Style Transfer (Q)
|
96% |
191533
247.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3578
132.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26804
989.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
49715
1.84 KIPS |
|
|
Text Classification (SP)
|
99% |
4097
5.47 KIPS |
|
|
Text Classification (HP)
|
99% |
2542
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6207
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3634
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3956
68.4 IPS |
