MacBook Air (2022)
Geekbench AI Score
2819
Single Precision Score
23463
Half Precision Score
24798
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:24 AM |
| Views | 8 |
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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1185
220.3 IPS |
|
|
Image Classification (HP)
|
100% |
10231
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
15273
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12938
209.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16753
271.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5076
5.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
103846
121.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
71919
84.3 IPS |
|
|
Object Detection (SP)
|
100% |
477
37.9 IPS |
|
|
Object Detection (HP)
|
99% |
9957
792.1 IPS |
|
|
Object Detection (Q)
|
89% |
11164
893.7 IPS |
|
|
Face Detection (SP)
|
100% |
2835
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
34736
412.7 IPS |
|
|
Face Detection (Q)
|
100% |
42208
501.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4235
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
82513
635.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
81828
640.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15027
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203349
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
117205
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3627
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39909
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43663
1.61 KIPS |
|
|
Text Classification (SP)
|
99% |
4020
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
6333
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6373
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3306
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3801
65.7 IPS |
