MacBook Air (2022)
Geekbench AI Score
2829
Single Precision Score
26198
Half Precision Score
25951
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:22 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 | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1078
200.5 IPS |
|
|
Image Classification (HP)
|
100% |
12729
2.37 KIPS |
|
|
Image Classification (Q)
|
97% |
13723
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16665
270.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21034
341.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5156
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
91153
106.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
89384
104.8 IPS |
|
|
Object Detection (SP)
|
100% |
1227
97.3 IPS |
|
|
Object Detection (HP)
|
99% |
15541
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17131
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2157
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
33329
396.0 IPS |
|
|
Face Detection (Q)
|
100% |
44059
523.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4733
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
82786
637.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
100823
788.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14292
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201328
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
189335
244.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3423
126.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40896
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49127
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
4015
5.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6314
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5434
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1396
24.1 IPS |
