ERYING
Geekbench AI Score
5016
Single Precision Score
1497
Half Precision Score
7827
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Gonzo304 |
| Upload Date | December 13 2024 04:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ERYING |
| Motherboard | ERYING Polestar Z790 ATX D5 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4016
746.9 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.1 IPS |
|
|
Image Classification (Q)
|
99% |
6568
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3517
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10421
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4443
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
31098
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3821
303.1 IPS |
|
|
Object Detection (HP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (Q)
|
86% |
7059
567.3 IPS |
|
|
Face Detection (SP)
|
100% |
10827
128.7 IPS |
|
|
Face Detection (HP)
|
100% |
1663
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
11317
134.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11524
88.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2005
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
17710
141.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22654
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10896
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26052
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3414
126.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2045
75.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5356
198.3 IPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
659
879.7 IPS |
|
|
Text Classification (Q)
|
97% |
1698
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3584
72.0 IPS |
