CyberPowerPC GamingPC
Geekbench AI Score
8761
Single Precision Score
7214
Half Precision Score
15564
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bmy |
| Upload Date | December 13 2024 05:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
5346
994.2 IPS |
|
|
Image Classification (HP)
|
100% |
3228
600.4 IPS |
|
|
Image Classification (Q)
|
100% |
9897
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7652
124.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4170
67.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11298
183.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14394
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13846
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30562
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5217
413.9 IPS |
|
|
Object Detection (HP)
|
100% |
3636
288.4 IPS |
|
|
Object Detection (Q)
|
88% |
10269
823.1 IPS |
|
|
Face Detection (SP)
|
100% |
15694
186.5 IPS |
|
|
Face Detection (HP)
|
100% |
9212
109.5 IPS |
|
|
Face Detection (Q)
|
100% |
27708
329.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14718
113.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12850
99.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
30189
234.7 IPS |
|
|
Style Transfer (SP)
|
100% |
41230
53.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38906
50.0 IPS |
|
|
Style Transfer (Q)
|
98% |
89213
115.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8612
318.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8193
302.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17272
639.6 IPS |
|
|
Text Classification (SP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (Q)
|
92% |
6412
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2846
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4668
80.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2877
49.6 IPS |
