MacBook Air (2022)
Geekbench AI Score
2227
Single Precision Score
18679
Half Precision Score
20446
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | SethikaRathnayake |
| Upload Date | December 12 2025 02:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 1.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
868
161.3 IPS |
|
|
Image Classification (HP)
|
100% |
11064
2.06 KIPS |
|
|
Image Classification (Q)
|
96% |
11989
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
973
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14228
230.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17942
290.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4169
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
66434
77.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66253
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
99% |
11604
923.1 IPS |
|
|
Object Detection (Q)
|
91% |
12089
965.9 IPS |
|
|
Face Detection (SP)
|
100% |
2133
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
22640
269.0 IPS |
|
|
Face Detection (Q)
|
100% |
28580
339.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3577
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
62275
479.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
74935
585.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11549
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
140208
180.2 IPS |
|
|
Style Transfer (Q)
|
96% |
132778
171.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2557
94.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28530
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34205
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2503
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2463
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2432
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3019
52.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3094
53.5 IPS |
