CyberPowerPC GamingPC
Geekbench AI Score
5477
Single Precision Score
8265
Half Precision Score
13075
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bmy |
| Upload Date | December 13 2024 06:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3566
663.2 IPS |
|
|
Image Classification (HP)
|
100% |
5561
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
7605
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3613
58.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7845
127.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11715
189.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12100
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11322
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
33717
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
3440
272.8 IPS |
|
|
Object Detection (HP)
|
100% |
4856
385.2 IPS |
|
|
Object Detection (Q)
|
88% |
8730
699.6 IPS |
|
|
Face Detection (SP)
|
100% |
7713
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
14393
171.0 IPS |
|
|
Face Detection (Q)
|
100% |
23782
282.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12082
93.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
20417
157.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
25215
196.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29299
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41137
52.9 IPS |
|
|
Style Transfer (Q)
|
98% |
82623
106.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7666
283.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14682
543.7 IPS |
|
|
Text Classification (SP)
|
71% |
1582
2.29 KIPS |
|
|
Text Classification (HP)
|
71% |
2323
3.36 KIPS |
|
|
Text Classification (Q)
|
92% |
2666
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2882
49.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2873
49.5 IPS |
