MacBook Air (2022)
Geekbench AI Score
2592
Single Precision Score
3918
Half Precision Score
3852
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:30 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1145
213.0 IPS |
|
|
Image Classification (HP)
|
100% |
2382
443.0 IPS |
|
|
Image Classification (Q)
|
96% |
1691
315.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5536
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
10728
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9412
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.0 IPS |
|
|
Object Detection (HP)
|
97% |
918
73.1 IPS |
|
|
Object Detection (Q)
|
94% |
627
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
1307
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
5524
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3358
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3507
27.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7384
57.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7231
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13004
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28679
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
10819
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2153
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2964
109.5 IPS |
|
|
Text Classification (SP)
|
99% |
3898
5.20 KIPS |
|
|
Text Classification (HP)
|
99% |
3322
4.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6184
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2694
46.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3218
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5589
96.6 IPS |
