ASUS System Product Name
Geekbench AI Score
37725
Single Precision Score
50919
Half Precision Score
27914
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | soiree322 |
| Upload Date | November 23 2024 02:15 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-F GAMING WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13802
2.57 KIPS |
|
|
Image Classification (HP)
|
99% |
17775
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
11447
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22215
360.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
27063
438.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20471
332.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
310420
362.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
526167
613.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
275895
323.1 IPS |
|
|
Object Detection (SP)
|
100% |
18783
1.49 KIPS |
|
|
Object Detection (HP)
|
100% |
24138
1.91 KIPS |
|
|
Object Detection (Q)
|
89% |
14938
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
49307
585.9 IPS |
|
|
Face Detection (HP)
|
100% |
59567
707.8 IPS |
|
|
Face Detection (Q)
|
97% |
40959
488.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
94343
726.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
158360
1.22 KIPS |
|
|
Depth Estimation (Q)
|
75% |
69389
559.7 IPS |
|
|
Style Transfer (SP)
|
100% |
585952
753.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1082942
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
499102
643.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62049
2.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81346
3.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44711
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
4614
6.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2205
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5123
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5002
86.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2127
47.4 IPS |
