MacBook Air (2022)
Geekbench AI Score
3250
Single Precision Score
27692
Half Precision Score
31164
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 11:56 AM |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1113
207.0 IPS |
|
|
Image Classification (HP)
|
100% |
13319
2.48 KIPS |
|
|
Image Classification (Q)
|
97% |
15485
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19186
311.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24241
393.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5917
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
105905
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105437
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.2 IPS |
|
|
Object Detection (HP)
|
99% |
15965
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17788
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
34333
408.0 IPS |
|
|
Face Detection (Q)
|
100% |
46231
549.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5015
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86443
666.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
111354
871.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16808
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
202861
260.8 IPS |
|
|
Style Transfer (Q)
|
96% |
192023
247.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3575
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42971
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50685
1.87 KIPS |
|
|
Text Classification (SP)
|
99% |
4055
5.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6292
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6273
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3270
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3771
64.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3905
67.5 IPS |
