MacBook Air (2022)
Geekbench AI Score
2260
Single Precision Score
3747
Half Precision Score
2983
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | NyaaKevin |
| Upload Date | December 19 2024 11:09 AM |
| Views | 7 |
| Notes | Low Power Mode 17C |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
886
164.8 IPS |
|
|
Image Classification (HP)
|
100% |
1522
283.1 IPS |
|
|
Image Classification (Q)
|
96% |
1045
195.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1716
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4026
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
9154
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
7911
9.27 IPS |
|
|
Object Detection (SP)
|
100% |
1017
80.7 IPS |
|
|
Object Detection (HP)
|
97% |
1796
143.0 IPS |
|
|
Object Detection (Q)
|
94% |
1260
100.4 IPS |
|
|
Face Detection (SP)
|
100% |
2226
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
3876
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
2134
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3629
28.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7313
56.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
4959
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11663
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17635
22.7 IPS |
|
|
Style Transfer (Q)
|
96% |
14529
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2617
96.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3073
113.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2259
83.4 IPS |
|
|
Text Classification (SP)
|
100% |
1501
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2310
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2506
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3906
67.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3894
67.3 IPS |
