CyberPowerPC GamingPC
Geekbench AI Score
6848
Single Precision Score
2502
Half Precision Score
10317
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bmy |
| Upload Date | December 13 2024 05:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | CyberPowerPC GamingPC |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P WIFI |
| 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% |
5550
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
813
151.2 IPS |
|
|
Image Classification (Q)
|
99% |
9552
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4709
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14121
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7805
9.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
43718
51.3 IPS |
|
|
Object Detection (SP)
|
100% |
4281
339.6 IPS |
|
|
Object Detection (HP)
|
100% |
1105
87.7 IPS |
|
|
Object Detection (Q)
|
86% |
11756
944.8 IPS |
|
|
Face Detection (SP)
|
100% |
13763
163.5 IPS |
|
|
Face Detection (HP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
13660
162.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15859
122.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3544
27.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
24499
195.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30218
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19939
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31453
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5720
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3639
134.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6948
257.3 IPS |
|
|
Text Classification (SP)
|
100% |
2031
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1061
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1825
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3076
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4429
89.0 IPS |
