MacBook Air (2022)
Geekbench AI Score
3329
Single Precision Score
27979
Half Precision Score
31082
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 07:46 AM |
| Views | 9 |
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% |
1116
207.5 IPS |
|
|
Image Classification (HP)
|
100% |
14001
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
15473
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19467
315.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24437
396.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6055
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
106848
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105262
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1375
109.0 IPS |
|
|
Object Detection (HP)
|
99% |
15678
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
16711
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
34639
411.6 IPS |
|
|
Face Detection (Q)
|
100% |
46483
552.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5025
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
85607
659.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
109836
859.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17428
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
204087
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
189628
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3635
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41664
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48873
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
6404
8.55 KIPS |
|
|
Text Classification (Q)
|
92% |
6371
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3464
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3988
68.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4198
72.5 IPS |
