MacBook Air (2022)
Geekbench AI Score
1591
Single Precision Score
2811
Half Precision Score
2403
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | minouh |
| Upload Date | April 12 2025 03:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 1.92 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
541
100.7 IPS |
|
|
Image Classification (HP)
|
100% |
1185
220.4 IPS |
|
|
Image Classification (Q)
|
96% |
862
161.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
873
14.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1369
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2464
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
5208
6.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
4959
5.81 IPS |
|
|
Object Detection (SP)
|
100% |
890
70.6 IPS |
|
|
Object Detection (HP)
|
97% |
1319
105.0 IPS |
|
|
Object Detection (Q)
|
94% |
1122
89.4 IPS |
|
|
Face Detection (SP)
|
100% |
1748
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (Q)
|
100% |
1431
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2504
19.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6516
50.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
4707
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6738
8.66 IPS |
|
|
Style Transfer (HP)
|
100% |
15118
19.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12204
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2027
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2923
107.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1595
58.9 IPS |
|
|
Text Classification (SP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2135
2.85 KIPS |
|
|
Text Classification (Q)
|
93% |
2275
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1969
33.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2180
37.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3289
56.8 IPS |
