MacBook Air (2022)
Geekbench AI Score
3462
Single Precision Score
25978
Half Precision Score
28761
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | spotlite |
| Upload Date | December 05 2024 09:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
14417
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
15541
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19351
313.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23736
384.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6890
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
105433
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104524
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.5 IPS |
|
|
Object Detection (HP)
|
99% |
14938
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17009
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
33177
394.2 IPS |
|
|
Face Detection (Q)
|
100% |
38169
453.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5752
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86241
664.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
105630
825.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18679
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
200028
257.1 IPS |
|
|
Style Transfer (Q)
|
96% |
195673
252.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4089
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39080
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50050
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3656
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3651
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3563
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3896
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4097
70.8 IPS |
