MacBook Air (2022)
Geekbench AI Score
3433
Single Precision Score
5994
Half Precision Score
4865
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | July 01 2025 03:24 PM |
| Views | 8 |
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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
2527
469.9 IPS |
|
|
Image Classification (Q)
|
96% |
1767
330.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2754
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6820
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15058
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12861
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
|
Object Detection (HP)
|
97% |
2796
222.6 IPS |
|
|
Object Detection (Q)
|
94% |
2028
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
3059
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5936
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3455
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5543
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10975
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7678
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18590
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28903
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23789
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3940
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4987
184.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3706
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3883
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3880
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3734
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6434
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6461
111.6 IPS |
