MacBook Air (2022)
Geekbench AI Score
3440
Single Precision Score
27663
Half Precision Score
30783
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 04:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1367
254.3 IPS |
|
|
Image Classification (HP)
|
100% |
14405
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
14292
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19230
311.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23763
385.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6848
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
103263
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104416
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.0 IPS |
|
|
Object Detection (HP)
|
99% |
15813
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17289
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
33891
402.7 IPS |
|
|
Face Detection (Q)
|
100% |
43078
511.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5616
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86278
664.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
106273
830.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18544
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202326
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
193137
249.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40187
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47581
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3756
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6509
112.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7888
136.3 IPS |
