PCSpecialist Nexa 932
Geekbench AI Score
44756
Single Precision Score
67034
Half Precision Score
32950
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 04:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | PCSpecialist Nexa 932 |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15749
2.93 KIPS |
|
|
Image Classification (HP)
|
100% |
21044
3.91 KIPS |
|
|
Image Classification (Q)
|
100% |
14254
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34818
564.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
43905
711.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
31185
507.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
375659
438.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
927180
1.08 KIPS |
|
|
Pose Estimation (Q)
|
96% |
306060
358.5 IPS |
|
|
Object Detection (SP)
|
100% |
22272
1.77 KIPS |
|
|
Object Detection (HP)
|
100% |
28404
2.25 KIPS |
|
|
Object Detection (Q)
|
85% |
18503
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
64599
767.6 IPS |
|
|
Face Detection (HP)
|
100% |
82582
981.3 IPS |
|
|
Face Detection (Q)
|
97% |
50789
605.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
99268
764.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
182904
1.41 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72179
578.1 IPS |
|
|
Style Transfer (SP)
|
100% |
552748
710.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1590047
2.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
484698
625.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71183
2.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93922
3.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49537
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
4078
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4888
6.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2371
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6833
117.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6829
117.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2872
53.9 IPS |
