MacBook Air (2022)
Geekbench AI Score
3457
Single Precision Score
6040
Half Precision Score
4898
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | mark6845 |
| Upload Date | August 27 2025 11:23 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2774
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6809
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15203
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12988
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.9 IPS |
|
|
Object Detection (HP)
|
97% |
2807
223.4 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5886
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3428
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5533
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11080
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7797
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18646
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29098
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24100
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4021
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5179
191.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3736
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
2379
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3938
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3756
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6411
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6473
111.9 IPS |
