COLORFUL iGame Z890 FLOW V20
Geekbench AI Score
8948
Single Precision Score
8958
Half Precision Score
15710
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 08:52 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% |
6170
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6286
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
10462
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6778
109.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6726
109.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8245
133.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15708
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15725
18.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
33626
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
5802
460.2 IPS |
|
|
Object Detection (HP)
|
100% |
5861
464.9 IPS |
|
|
Object Detection (Q)
|
88% |
11264
903.0 IPS |
|
|
Face Detection (SP)
|
100% |
16807
199.7 IPS |
|
|
Face Detection (HP)
|
100% |
17014
202.2 IPS |
|
|
Face Detection (Q)
|
100% |
28287
336.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15759
121.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15542
119.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
31205
242.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44304
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
44113
56.7 IPS |
|
|
Style Transfer (Q)
|
98% |
95949
123.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9448
348.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9268
342.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17678
654.7 IPS |
|
|
Text Classification (SP)
|
100% |
2088
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (Q)
|
92% |
4933
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3785
65.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3797
65.4 IPS |
