COLORFUL iGame Z890 FLOW V20
Geekbench AI Score
8929
Single Precision Score
8949
Half Precision Score
15407
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 08:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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% |
6113
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6319
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
10525
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6787
110.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6872
111.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7211
116.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15859
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15687
18.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
34242
40.1 IPS |
|
|
Object Detection (SP)
|
100% |
5764
457.2 IPS |
|
|
Object Detection (HP)
|
100% |
5706
452.6 IPS |
|
|
Object Detection (Q)
|
88% |
11193
897.3 IPS |
|
|
Face Detection (SP)
|
100% |
16625
197.5 IPS |
|
|
Face Detection (HP)
|
100% |
16867
200.4 IPS |
|
|
Face Detection (Q)
|
100% |
27831
330.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15874
122.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16087
123.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
31146
242.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44093
56.7 IPS |
|
|
Style Transfer (HP)
|
100% |
44382
57.1 IPS |
|
|
Style Transfer (Q)
|
98% |
96365
124.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9441
348.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9275
342.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17777
658.4 IPS |
|
|
Text Classification (SP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2109
2.81 KIPS |
|
|
Text Classification (Q)
|
92% |
4899
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3701
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3600
62.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3562
61.4 IPS |
