COLORFUL iGame Z890 VULCAN X V20
Geekbench AI Score
40803
Single Precision Score
59034
Half Precision Score
30709
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 01:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | COLORFUL iGame Z890 VULCAN X V20 |
| Motherboard | COLORFUL iGame Z890 VULCAN X V20 |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15114
2.81 KIPS |
|
|
Image Classification (HP)
|
100% |
20479
3.81 KIPS |
|
|
Image Classification (Q)
|
100% |
12896
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24894
403.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
29373
476.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
23518
382.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
375934
438.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
807124
941.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
299828
351.2 IPS |
|
|
Object Detection (SP)
|
100% |
19898
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
25650
2.03 KIPS |
|
|
Object Detection (Q)
|
85% |
16810
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
57366
681.6 IPS |
|
|
Face Detection (HP)
|
100% |
70445
837.0 IPS |
|
|
Face Detection (Q)
|
97% |
46694
556.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
101976
785.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
177658
1.37 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73436
588.2 IPS |
|
|
Style Transfer (SP)
|
100% |
558952
718.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1451006
1.87 KIPS |
|
|
Style Transfer (Q)
|
98% |
483824
623.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64425
2.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87519
3.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47436
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4839
6.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2278
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5456
94.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5368
92.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2722
51.0 IPS |
