MacBook Air (2022)
Geekbench AI Score
3362
Single Precision Score
27621
Half Precision Score
30387
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 09:22 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1262
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
14099
2.62 KIPS |
|
|
Image Classification (Q)
|
97% |
15635
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18977
307.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24260
393.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6083
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
106646
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106689
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
99% |
16169
1.29 KIPS |
|
|
Object Detection (Q)
|
89% |
18168
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
34869
414.3 IPS |
|
|
Face Detection (Q)
|
100% |
46736
555.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5226
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85080
655.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
113074
884.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17453
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
193301
248.5 IPS |
|
|
Style Transfer (Q)
|
96% |
194367
250.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3597
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41284
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50665
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
4140
5.53 KIPS |
|
|
Text Classification (HP)
|
99% |
6203
8.28 KIPS |
|
|
Text Classification (Q)
|
92% |
6151
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3206
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3816
65.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2853
49.3 IPS |
