MacBook Air (2022)
Geekbench AI Score
6382
Single Precision Score
7075
Half Precision Score
6487
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | StatueMarki |
| Upload Date | April 29 2025 08:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
3317
616.8 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.2 IPS |
|
|
Image Classification (Q)
|
96% |
2972
554.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4835
78.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4905
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4700
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19983
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21331
24.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
20643
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
3249
257.7 IPS |
|
|
Object Detection (HP)
|
100% |
3186
252.7 IPS |
|
|
Object Detection (Q)
|
92% |
2914
232.6 IPS |
|
|
Face Detection (SP)
|
100% |
9242
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
10390
123.5 IPS |
|
|
Face Detection (Q)
|
100% |
8512
101.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13727
105.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14545
112.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
13453
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36345
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40301
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39181
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7848
289.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8289
306.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7092
261.9 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3842
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1292
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1460
25.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1291
22.3 IPS |
