MacBook Air (2022)
Geekbench AI Score
3322
Single Precision Score
26490
Half Precision Score
29238
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | May 19 2025 01:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
14276
2.65 KIPS |
|
|
Image Classification (Q)
|
96% |
15501
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19272
312.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22618
366.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6352
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
104284
121.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104166
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (HP)
|
99% |
16181
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
17164
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
32648
387.9 IPS |
|
|
Face Detection (Q)
|
100% |
42227
501.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5529
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87772
676.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
108004
844.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18270
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
199943
257.0 IPS |
|
|
Style Transfer (Q)
|
96% |
189393
244.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3960
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40968
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52027
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3813
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3817
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4095
70.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4246
73.4 IPS |
