MacBook Air (2022)
Geekbench AI Score
3496
Single Precision Score
26160
Half Precision Score
28803
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jordan777 |
| Upload Date | February 07 2025 11:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
14053
2.61 KIPS |
|
|
Image Classification (Q)
|
96% |
14687
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19099
309.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24191
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6861
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
104738
122.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105282
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
15407
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17643
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
32789
389.6 IPS |
|
|
Face Detection (Q)
|
100% |
40582
482.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5752
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87383
673.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109112
852.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18726
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203614
261.7 IPS |
|
|
Style Transfer (Q)
|
96% |
193398
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4083
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39143
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45230
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3798
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3801
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3648
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3996
68.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4045
69.9 IPS |
