MacBook Air (2022)
Geekbench AI Score
3315
Single Precision Score
27683
Half Precision Score
30977
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:13 PM |
| Views | 12 |
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 | 3.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
13964
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
15655
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19422
314.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23302
377.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5727
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
106669
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
103439
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
99% |
15894
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17718
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2792
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
34905
414.8 IPS |
|
|
Face Detection (Q)
|
100% |
46817
556.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5103
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85484
658.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
110215
862.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17125
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
194928
250.6 IPS |
|
|
Style Transfer (Q)
|
96% |
190022
245.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3607
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40813
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48541
1.79 KIPS |
|
|
Text Classification (SP)
|
99% |
4029
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
6241
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6300
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3881
66.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4059
70.1 IPS |
