MacBook Air (2022)
Geekbench AI Score
2399
Single Precision Score
3975
Half Precision Score
3201
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | August 28 2025 11:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1238
230.2 IPS |
|
|
Image Classification (HP)
|
100% |
2410
448.2 IPS |
|
|
Image Classification (Q)
|
96% |
1661
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6561
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
14138
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
6846
8.02 IPS |
|
|
Object Detection (SP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (HP)
|
97% |
911
72.6 IPS |
|
|
Object Detection (Q)
|
94% |
1148
91.5 IPS |
|
|
Face Detection (SP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
3498
41.6 IPS |
|
|
Face Detection (Q)
|
100% |
2049
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3478
26.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6707
51.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4668
36.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11317
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17896
23.0 IPS |
|
|
Style Transfer (Q)
|
96% |
14667
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2575
95.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3208
118.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2345
86.6 IPS |
|
|
Text Classification (SP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2484
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2457
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4140
71.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4078
70.5 IPS |
