PCSpecialist Ultra 711
Geekbench AI Score
4791
Single Precision Score
4823
Half Precision Score
12702
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AVk |
| Upload Date | December 07 2025 10:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | PCSpecialist Ultra 711 |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P |
| Power Plan | Balansert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2136
397.3 IPS |
|
|
Image Classification (HP)
|
100% |
2000
372.0 IPS |
|
|
Image Classification (Q)
|
100% |
9603
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4544
73.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4359
70.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10456
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7707
8.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
7866
9.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
24152
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
100% |
2473
196.1 IPS |
|
|
Object Detection (Q)
|
88% |
8800
705.4 IPS |
|
|
Face Detection (SP)
|
100% |
8370
99.5 IPS |
|
|
Face Detection (HP)
|
100% |
9112
108.3 IPS |
|
|
Face Detection (Q)
|
100% |
15258
181.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8240
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8459
65.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
24828
193.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22226
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23042
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
83154
107.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15702
581.5 IPS |
|
|
Text Classification (SP)
|
100% |
2171
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1955
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
5234
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2421
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2837
48.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1979
34.1 IPS |
