CyberPowerPC GamingPC
Geekbench AI Score
35279
Single Precision Score
57657
Half Precision Score
26784
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dzappone |
| Upload Date | May 01 2025 12:48 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | CyberPowerPC GamingPC |
| Motherboard | ASUSTeK COMPUTER INC. Z890 MAX GAMING WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13849
2.58 KIPS |
|
|
Image Classification (HP)
|
100% |
19844
3.69 KIPS |
|
|
Image Classification (Q)
|
100% |
11821
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25756
417.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
35426
574.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23212
377.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
236267
275.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
681040
794.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
201704
236.3 IPS |
|
|
Object Detection (SP)
|
100% |
17598
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
26070
2.07 KIPS |
|
|
Object Detection (Q)
|
86% |
15383
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
50621
601.5 IPS |
|
|
Face Detection (HP)
|
100% |
71147
845.4 IPS |
|
|
Face Detection (Q)
|
97% |
42244
503.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
87871
677.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
164627
1.27 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65053
519.5 IPS |
|
|
Style Transfer (SP)
|
100% |
341386
438.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1072919
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
297400
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53535
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82112
3.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40101
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3817
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4862
6.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2294
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6490
111.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6484
111.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2969
55.7 IPS |
