PCSpecialist Ultra 711
Geekbench AI Score
5503
Single Precision Score
1757
Half Precision Score
9136
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AVk |
| Upload Date | December 07 2025 10:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
4684
871.0 IPS |
|
|
Image Classification (HP)
|
100% |
650
120.9 IPS |
|
|
Image Classification (Q)
|
99% |
7040
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2025
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
977
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12414
201.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11068
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5069
5.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
33710
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
4323
342.9 IPS |
|
|
Object Detection (HP)
|
100% |
843
66.9 IPS |
|
|
Object Detection (Q)
|
86% |
7126
572.7 IPS |
|
|
Face Detection (SP)
|
100% |
12807
152.2 IPS |
|
|
Face Detection (HP)
|
100% |
1727
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
11596
138.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13032
100.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2358
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
17922
143.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23162
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12733
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26832
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3877
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2339
86.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6317
233.9 IPS |
|
|
Text Classification (SP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
858
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1478
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2320
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3710
74.6 IPS |
