MacBook Air (2022)
Geekbench AI Score
3436
Single Precision Score
26642
Half Precision Score
29375
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | May 20 2025 01:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
15160
2.82 KIPS |
|
|
Image Classification (Q)
|
96% |
15277
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19380
314.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
22083
358.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6756
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
105065
122.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105959
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
99% |
15138
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
18328
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
32575
387.1 IPS |
|
|
Face Detection (Q)
|
100% |
39415
468.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5517
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87710
675.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
110234
861.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18828
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204888
263.4 IPS |
|
|
Style Transfer (Q)
|
96% |
195650
252.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4087
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40778
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51308
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3809
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3738
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4241
73.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4479
77.4 IPS |
