MacBook Air (2022)
Geekbench AI Score
3445
Single Precision Score
5966
Half Precision Score
4835
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | December 07 2024 10:28 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
96% |
1767
330.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2879
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6869
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14791
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12709
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2882
229.5 IPS |
|
|
Object Detection (Q)
|
94% |
2092
166.8 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5996
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3498
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5683
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11662
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8054
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18686
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28397
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24073
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4054
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4909
181.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3568
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3804
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3702
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5771
99.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5766
99.6 IPS |
