MacBook Air (2022)
Geekbench AI Score
5828
Single Precision Score
6222
Half Precision Score
5557
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | UvarovAndrey |
| Upload Date | December 27 2024 10:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3321
617.7 IPS |
|
|
Image Classification (HP)
|
100% |
3173
590.1 IPS |
|
|
Image Classification (Q)
|
97% |
2611
487.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3689
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4280
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4266
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19882
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21308
24.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19911
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3118
247.4 IPS |
|
|
Object Detection (HP)
|
100% |
3195
253.4 IPS |
|
|
Object Detection (Q)
|
91% |
2649
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
9374
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
10303
122.4 IPS |
|
|
Face Detection (Q)
|
100% |
7233
85.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13683
105.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14569
112.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12189
95.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36177
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40235
51.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37684
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7897
291.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8354
308.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6517
240.7 IPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3751
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3734
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
98% |
592
10.2 IPS |
