MacBook Air (2022)
Geekbench AI Score
3372
Single Precision Score
5934
Half Precision Score
4812
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | June 16 2025 04:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
2440
453.8 IPS |
|
|
Image Classification (Q)
|
96% |
1692
315.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2360
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2698
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6767
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
15144
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12947
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2761
219.8 IPS |
|
|
Object Detection (Q)
|
94% |
2003
159.6 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5858
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
3415
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5463
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10811
83.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7603
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18417
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29011
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23925
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3979
146.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4965
183.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3680
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
2229
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3640
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3647
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3748
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6779
117.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6754
116.7 IPS |
