MacBook Air (2022)
Geekbench AI Score
3447
Single Precision Score
5939
Half Precision Score
4826
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | TofuBoi |
| Upload Date | October 30 2024 06:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
96% |
1770
330.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2860
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6864
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14801
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12744
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
97% |
2863
227.9 IPS |
|
|
Object Detection (Q)
|
94% |
2069
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
5916
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
3525
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5580
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11636
90.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8026
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18704
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28390
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23679
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4040
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3548
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
2229
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3773
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3743
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5776
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5777
99.8 IPS |
