MacBook Air (2022)
Geekbench AI Score
2003
Single Precision Score
18766
Half Precision Score
21604
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:39 PM |
| Views | 5 |
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% |
759
141.2 IPS |
|
|
Image Classification (HP)
|
100% |
10994
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
12865
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14183
229.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18359
297.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3041
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
68309
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67232
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
888
70.4 IPS |
|
|
Object Detection (HP)
|
99% |
11932
949.2 IPS |
|
|
Object Detection (Q)
|
89% |
12461
997.5 IPS |
|
|
Face Detection (SP)
|
100% |
2028
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
24114
286.5 IPS |
|
|
Face Detection (Q)
|
100% |
31081
369.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3317
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
62436
481.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
76696
600.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10812
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
123332
158.5 IPS |
|
|
Style Transfer (Q)
|
96% |
128123
165.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2254
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30150
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33089
1.22 KIPS |
|
|
Text Classification (SP)
|
99% |
2104
2.81 KIPS |
|
|
Text Classification (HP)
|
99% |
3891
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3894
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2845
49.2 IPS |
