MacBook Air (2022)
Geekbench AI Score
3249
Single Precision Score
4786
Half Precision Score
4096
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | UvarovAndrey |
| Upload Date | September 28 2024 05:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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% |
1518
282.3 IPS |
|
|
Image Classification (HP)
|
100% |
1936
360.0 IPS |
|
|
Image Classification (Q)
|
96% |
1448
270.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1862
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6156
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
14611
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12599
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2281
181.6 IPS |
|
|
Object Detection (Q)
|
94% |
1756
140.0 IPS |
|
|
Face Detection (SP)
|
100% |
2860
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
4417
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
2907
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5391
41.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8659
66.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6492
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17317
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27156
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22723
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3655
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4888
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3634
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3178
4.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3069
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4596
79.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4505
77.9 IPS |
