MacBook Air (2022)
Geekbench AI Score
3217
Single Precision Score
4787
Half Precision Score
3973
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 07:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1512
281.2 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.1 IPS |
|
|
Image Classification (Q)
|
99% |
1917
357.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1306
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6113
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
14595
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12410
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2256
179.6 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
2842
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
4404
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
2850
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5373
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8636
66.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4356
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17216
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27017
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
27019
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3632
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4898
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3534
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3361
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2887
49.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4524
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4557
78.7 IPS |
