MacBook Air (2022)
Geekbench AI Score
3397
Single Precision Score
26477
Half Precision Score
29029
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | May 19 2025 09:56 AM |
| Views | 5 |
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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1339
249.0 IPS |
|
|
Image Classification (HP)
|
100% |
14435
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
15211
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18967
307.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22115
358.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6785
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
106076
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105065
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
16004
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17815
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
32847
390.3 IPS |
|
|
Face Detection (Q)
|
100% |
41263
490.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5643
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87213
671.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
107871
843.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18306
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205296
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
191063
246.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3988
147.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41086
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50882
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3754
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3736
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3508
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4017
69.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4175
72.2 IPS |
