MacBook Air (2022)
Geekbench AI Score
3084
Single Precision Score
24122
Half Precision Score
27345
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:23 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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1009
187.7 IPS |
|
|
Image Classification (HP)
|
100% |
11425
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
15157
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13220
214.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15962
258.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4675
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
85599
99.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
97394
114.2 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.2 IPS |
|
|
Object Detection (HP)
|
99% |
11935
949.4 IPS |
|
|
Object Detection (Q)
|
89% |
14574
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
2673
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
34007
404.1 IPS |
|
|
Face Detection (Q)
|
100% |
33231
394.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4779
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87240
672.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
94918
742.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16865
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
177536
228.2 IPS |
|
|
Style Transfer (Q)
|
96% |
190515
245.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3594
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35128
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50234
1.85 KIPS |
|
|
Text Classification (SP)
|
99% |
4084
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
6320
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6195
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3137
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3698
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3641
62.9 IPS |
