MacBook Air (2022)
Geekbench AI Score
3339
Single Precision Score
27605
Half Precision Score
30876
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 08:59 PM |
| Views | 8 |
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 | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1246
231.8 IPS |
|
|
Image Classification (HP)
|
100% |
14085
2.62 KIPS |
|
|
Image Classification (Q)
|
97% |
15264
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19517
316.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24697
400.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5939
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
106808
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106616
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1355
107.5 IPS |
|
|
Object Detection (HP)
|
99% |
15831
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
16313
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
2905
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
34697
412.3 IPS |
|
|
Face Detection (Q)
|
100% |
46681
554.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5170
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
86915
669.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
110470
864.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17178
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
206602
265.6 IPS |
|
|
Style Transfer (Q)
|
96% |
194117
250.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3576
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42287
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49655
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
4012
5.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6377
8.51 KIPS |
|
|
Text Classification (Q)
|
92% |
6292
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3369
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3291
56.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3841
66.4 IPS |
