CyberPowerPC GamingPC
Geekbench AI Score
8769
Single Precision Score
9974
Half Precision Score
14709
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | johnalden |
| Upload Date | May 10 2025 03:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | CyberPowerPC GamingPC |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 UD WIFI6E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5776
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
6761
1.26 KIPS |
|
|
Image Classification (Q)
|
56% |
6394
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8368
135.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2955
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3988
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13651
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34686
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
76114
89.2 IPS |
|
|
Object Detection (SP)
|
100% |
5413
429.3 IPS |
|
|
Object Detection (HP)
|
100% |
6017
477.3 IPS |
|
|
Object Detection (Q)
|
87% |
10139
813.7 IPS |
|
|
Face Detection (SP)
|
100% |
16115
191.5 IPS |
|
|
Face Detection (HP)
|
100% |
17492
207.8 IPS |
|
|
Face Detection (Q)
|
100% |
29537
351.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13478
103.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19562
150.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
36162
281.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35859
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54285
69.8 IPS |
|
|
Style Transfer (Q)
|
98% |
100738
129.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8132
300.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14657
541.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25448
942.4 IPS |
|
|
Text Classification (SP)
|
100% |
3539
4.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (Q)
|
92% |
1982
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4371
75.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4440
76.5 IPS |
