PCSpecialist Intel Z890
Geekbench AI Score
37679
Single Precision Score
53506
Half Precision Score
28783
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 07:16 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | PCSpecialist Intel Z890 |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
| Power Plan | Bitsum Highest Performance |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13672
2.54 KIPS |
|
|
Image Classification (HP)
|
100% |
17599
3.27 KIPS |
|
|
Image Classification (Q)
|
100% |
12345
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24283
393.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
28480
461.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22520
366.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
351770
410.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
751680
877.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
285520
334.4 IPS |
|
|
Object Detection (SP)
|
100% |
17709
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
21246
1.69 KIPS |
|
|
Object Detection (Q)
|
85% |
14938
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
50192
596.4 IPS |
|
|
Face Detection (HP)
|
100% |
61631
732.3 IPS |
|
|
Face Detection (Q)
|
97% |
41910
499.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
89391
688.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
155406
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
66701
534.2 IPS |
|
|
Style Transfer (SP)
|
100% |
503322
647.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1273032
1.64 KIPS |
|
|
Style Transfer (Q)
|
98% |
429706
554.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61120
2.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80598
2.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45640
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4686
6.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2288
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5207
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5218
89.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2624
49.2 IPS |
