MacBook Air (2022)
Geekbench AI Score
3206
Single Precision Score
4745
Half Precision Score
4065
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | PM974 |
| Upload Date | December 23 2024 08:28 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1482
275.6 IPS |
|
|
Image Classification (HP)
|
100% |
1902
353.7 IPS |
|
|
Image Classification (Q)
|
96% |
1428
266.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1825
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6020
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14504
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12703
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2246
178.8 IPS |
|
|
Object Detection (Q)
|
94% |
1725
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
2808
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
4404
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
2850
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5332
41.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
8606
66.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6484
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17298
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27087
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22686
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3654
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4940
182.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3639
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3114
4.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3096
4.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2997
51.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4603
79.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4576
79.1 IPS |
