MacBook Air (2022)
Geekbench AI Score
2353
Single Precision Score
25629
Half Precision Score
28237
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:04 PM |
| Views | 10 |
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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
614
114.2 IPS |
|
|
Image Classification (HP)
|
100% |
14126
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
15244
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19287
312.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24419
395.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5479
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
105595
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105839
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
675
53.5 IPS |
|
|
Object Detection (HP)
|
99% |
15729
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17941
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
1341
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
16171
192.1 IPS |
|
|
Face Detection (Q)
|
100% |
21709
257.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4319
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85596
659.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
105527
825.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11624
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201570
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
191935
247.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2512
92.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41462
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45729
1.69 KIPS |
|
|
Text Classification (SP)
|
99% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
6148
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6208
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3073
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3800
65.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3653
63.1 IPS |
