COLORFUL iGame Z890 FLOW V20
Geekbench AI Score
30653
Single Precision Score
45753
Half Precision Score
22990
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 14 2024 11:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| 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% |
11678
2.17 KIPS |
|
|
Image Classification (HP)
|
99% |
17322
3.23 KIPS |
|
|
Image Classification (Q)
|
100% |
10282
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19112
309.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23613
382.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17615
286.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
242345
282.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
480352
560.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
207062
242.5 IPS |
|
|
Object Detection (SP)
|
100% |
14510
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
21318
1.69 KIPS |
|
|
Object Detection (Q)
|
89% |
12050
964.7 IPS |
|
|
Face Detection (SP)
|
100% |
40183
477.5 IPS |
|
|
Face Detection (HP)
|
100% |
50731
602.8 IPS |
|
|
Face Detection (Q)
|
97% |
34043
405.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
72267
556.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
136933
1.06 KIPS |
|
|
Depth Estimation (Q)
|
76% |
52457
422.6 IPS |
|
|
Style Transfer (SP)
|
100% |
336837
433.0 IPS |
|
|
Style Transfer (HP)
|
100% |
831719
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
306144
394.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51266
1.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69418
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39140
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
3759
5.02 KIPS |
|
|
Text Classification (HP)
|
99% |
4979
6.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2165
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4951
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4806
82.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1971
44.0 IPS |
