MacBook Air (2022)
Geekbench AI Score
3427
Single Precision Score
26577
Half Precision Score
29505
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | April 01 2025 05:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1366
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
14375
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15669
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19637
318.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24284
393.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6809
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
105722
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106857
125.2 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.8 IPS |
|
|
Object Detection (HP)
|
99% |
15119
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17115
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
33616
399.4 IPS |
|
|
Face Detection (Q)
|
100% |
42683
507.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5520
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87169
671.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
107973
843.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18626
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203066
261.0 IPS |
|
|
Style Transfer (Q)
|
96% |
193435
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3959
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39756
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47698
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3795
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3703
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4284
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4453
77.0 IPS |
