MacBook Air (2022)
Geekbench AI Score
2230
Single Precision Score
3775
Half Precision Score
3006
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | SethikaRathnayake |
| Upload Date | December 12 2025 02:43 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
872
162.2 IPS |
|
|
Image Classification (HP)
|
100% |
1505
279.8 IPS |
|
|
Image Classification (Q)
|
96% |
1036
193.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1674
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4110
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
9458
11.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
8007
9.39 IPS |
|
|
Object Detection (SP)
|
100% |
1004
79.6 IPS |
|
|
Object Detection (HP)
|
97% |
1757
139.9 IPS |
|
|
Object Detection (Q)
|
94% |
1246
99.3 IPS |
|
|
Face Detection (SP)
|
100% |
2132
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (Q)
|
100% |
2100
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3544
27.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6922
53.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
4751
37.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11559
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17818
22.9 IPS |
|
|
Style Transfer (Q)
|
96% |
14577
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2555
94.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3264
120.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2335
86.2 IPS |
|
|
Text Classification (SP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2473
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2456
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4196
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4175
72.1 IPS |
