COLORFUL iGame Z890 FLOW V20
Geekbench AI Score
3702
Single Precision Score
4977
Half Precision Score
2506
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 08:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | COLORFUL iGame Z890 FLOW V20 |
| Motherboard | COLORFUL iGame Z890 FLOW V20 |
| Power Plan | test |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2371
440.9 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (Q)
|
100% |
1800
334.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4646
75.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1411
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9776
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14737
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8464
9.92 IPS |
|
|
Object Detection (SP)
|
100% |
2425
192.4 IPS |
|
|
Object Detection (HP)
|
99% |
3029
241.0 IPS |
|
|
Object Detection (Q)
|
89% |
1608
128.7 IPS |
|
|
Face Detection (SP)
|
100% |
4089
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
4513
53.6 IPS |
|
|
Face Detection (Q)
|
97% |
2672
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7777
59.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12942
100.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
5711
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25121
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35580
45.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19530
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4168
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7018
259.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2928
108.4 IPS |
|
|
Text Classification (SP)
|
86% |
787
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
617
823.8 IPS |
|
|
Text Classification (Q)
|
83% |
502
683.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1855
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1704
29.4 IPS |
|
|
Machine Translation (Q)
|
60% |
647
14.4 IPS |
