MacBook Air (2022)
Geekbench AI Score
2706
Single Precision Score
4417
Half Precision Score
3546
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | franky2000 |
| Upload Date | September 20 2024 05:26 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1279
237.9 IPS |
|
|
Image Classification (HP)
|
100% |
2298
427.4 IPS |
|
|
Image Classification (Q)
|
96% |
1606
299.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2647
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6356
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
13945
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11607
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
97% |
2562
204.0 IPS |
|
|
Object Detection (Q)
|
94% |
1894
151.0 IPS |
|
|
Face Detection (SP)
|
100% |
2832
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
5512
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3203
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5105
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11304
87.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7905
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18610
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13717
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
10625
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2006
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2540
93.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1733
64.0 IPS |
|
|
Text Classification (SP)
|
100% |
1255
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2375
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1863
32.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2807
48.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3041
52.5 IPS |
