ERYING
Geekbench AI Score
5434
Single Precision Score
1657
Half Precision Score
8438
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 28 2025 12:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700HX |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ERYING |
| Motherboard | ERYING Polestar H770 ATX D5 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4297
799.2 IPS |
|
|
Image Classification (HP)
|
100% |
588
109.3 IPS |
|
|
Image Classification (Q)
|
99% |
6847
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4227
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10681
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4755
5.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
33295
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
4047
321.0 IPS |
|
|
Object Detection (HP)
|
100% |
768
60.9 IPS |
|
|
Object Detection (Q)
|
86% |
7397
594.5 IPS |
|
|
Face Detection (SP)
|
100% |
11554
137.3 IPS |
|
|
Face Detection (HP)
|
100% |
1775
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
11402
136.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12748
98.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2245
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
19652
156.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23928
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11657
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29616
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3725
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2183
80.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5849
216.6 IPS |
|
|
Text Classification (SP)
|
100% |
1815
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
739
986.8 IPS |
|
|
Text Classification (Q)
|
97% |
1908
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3469
69.7 IPS |
