MacBook Air (2022)
Geekbench AI Score
3444
Single Precision Score
5961
Half Precision Score
4842
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | warumono |
| Upload Date | November 17 2024 05:49 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (HP)
|
100% |
2494
463.9 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2520
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2825
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6865
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14986
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12943
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
97% |
2849
226.8 IPS |
|
|
Object Detection (Q)
|
94% |
2070
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5905
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
3565
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5692
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11583
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8055
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18752
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28782
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24056
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4894
180.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3595
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3717
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3517
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5810
100.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5820
100.6 IPS |
