MacBook Air (2022)
Geekbench AI Score
1659
Single Precision Score
19586
Half Precision Score
20871
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:48 PM |
| Views | 7 |
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 | 1.93 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
718
133.6 IPS |
|
|
Image Classification (HP)
|
100% |
10950
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
9551
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
327
5.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
13812
223.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16782
272.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2915
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
68154
79.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66919
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
811
64.3 IPS |
|
|
Object Detection (HP)
|
99% |
11503
915.1 IPS |
|
|
Object Detection (Q)
|
89% |
11363
909.6 IPS |
|
|
Face Detection (SP)
|
100% |
1398
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
23660
281.1 IPS |
|
|
Face Detection (Q)
|
100% |
31683
376.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3159
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
59612
459.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
67324
526.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7834
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
138768
178.4 IPS |
|
|
Style Transfer (Q)
|
96% |
127464
164.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1920
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30984
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32481
1.20 KIPS |
|
|
Text Classification (SP)
|
99% |
2055
2.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3926
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2085
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2913
50.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3712
64.1 IPS |
