MacBook Air (2022)
Geekbench AI Score
3204
Single Precision Score
4713
Half Precision Score
4041
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rennsport |
| Upload Date | April 06 2025 02:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1491
277.3 IPS |
|
|
Image Classification (HP)
|
100% |
1891
351.8 IPS |
|
|
Image Classification (Q)
|
96% |
1417
264.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1818
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6025
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14491
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12589
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2253
179.4 IPS |
|
|
Object Detection (Q)
|
94% |
1719
137.0 IPS |
|
|
Face Detection (SP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
4392
52.2 IPS |
|
|
Face Detection (Q)
|
100% |
2841
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5290
40.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
8580
66.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6472
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17107
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26946
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22546
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3608
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4878
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3592
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3066
4.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3095
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3040
52.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4503
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4524
78.2 IPS |
