MacBook Air (2022)
Geekbench AI Score
3284
Single Precision Score
27019
Half Precision Score
29617
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 26 2025 02:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1290
239.9 IPS |
|
|
Image Classification (HP)
|
100% |
14795
2.75 KIPS |
|
|
Image Classification (Q)
|
96% |
15704
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19750
320.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24233
392.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6278
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
105212
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105339
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
99% |
16405
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
18056
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
34197
406.3 IPS |
|
|
Face Detection (Q)
|
100% |
43685
519.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5336
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87696
675.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
108681
849.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18072
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203999
262.2 IPS |
|
|
Style Transfer (Q)
|
96% |
196632
253.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40228
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44833
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3866
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3612
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4225
72.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4434
76.6 IPS |
