MacBook Air M2 MacBook Air (2022)
Geekbench AI Score
3450
Single Precision Score
5966
Half Precision Score
4845
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MaybeHS |
| Upload Date | November 09 2024 06:03 PM |
| Views | 18 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
2533
471.1 IPS |
|
|
Image Classification (Q)
|
96% |
1780
332.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2881
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6858
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14780
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12748
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2904
231.2 IPS |
|
|
Object Detection (Q)
|
94% |
2094
166.9 IPS |
|
|
Face Detection (SP)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5996
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3510
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5693
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11679
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8061
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18677
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28513
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23810
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4932
182.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3574
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
2227
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3748
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3743
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3556
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5742
99.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5784
99.9 IPS |
