MacBook Air (2022)
Geekbench AI Score
3320
Single Precision Score
5700
Half Precision Score
4597
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | yasin9300 |
| Upload Date | December 22 2024 09:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
887
165.0 IPS |
|
|
Image Classification (HP)
|
100% |
1534
285.2 IPS |
|
|
Image Classification (Q)
|
96% |
1048
195.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2549
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2872
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6876
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14944
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12853
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
97% |
2874
228.8 IPS |
|
|
Object Detection (Q)
|
94% |
2081
165.8 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6070
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3528
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5746
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11650
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8036
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18718
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28426
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23758
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4891
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3593
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3780
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3722
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5803
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5813
100.5 IPS |
