MacBook Air (2022)
Geekbench AI Score
3451
Single Precision Score
21215
Half Precision Score
23229
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 02:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1380
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
14530
2.70 KIPS |
|
|
Image Classification (Q)
|
99% |
15418
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9018
146.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
8998
145.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6860
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
100235
117.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
101548
119.1 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
14803
1.18 KIPS |
|
|
Object Detection (Q)
|
91% |
17385
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
23218
275.9 IPS |
|
|
Face Detection (Q)
|
100% |
36228
430.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5621
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
74817
576.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
82221
635.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18672
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
155535
199.9 IPS |
|
|
Style Transfer (Q)
|
100% |
154288
198.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39830
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
46349
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3706
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2366
40.9 IPS |
