MacBook Air (2022)
Geekbench AI Score
6104
Single Precision Score
5912
Half Precision Score
5578
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | August 22 2025 04:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 1.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3646
678.0 IPS |
|
|
Image Classification (HP)
|
100% |
3463
644.1 IPS |
|
|
Image Classification (Q)
|
96% |
3194
596.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5671
91.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5882
95.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4641
75.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12427
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
25489
29.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
15732
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3524
279.5 IPS |
|
|
Object Detection (HP)
|
100% |
3129
248.2 IPS |
|
|
Object Detection (Q)
|
92% |
3351
267.5 IPS |
|
|
Face Detection (SP)
|
100% |
8932
106.1 IPS |
|
|
Face Detection (HP)
|
100% |
11211
133.2 IPS |
|
|
Face Detection (Q)
|
100% |
8277
98.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16415
126.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8264
63.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14285
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38871
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22941
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22271
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8783
324.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8482
313.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8848
326.7 IPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1351
1.80 KIPS |
|
|
Text Classification (Q)
|
93% |
1321
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1213
21.0 IPS |
