ASUS System Product Name
Geekbench AI Score
37709
Single Precision Score
51081
Half Precision Score
27834
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | soiree322 |
| Upload Date | October 10 2024 03:56 PM |
| Views | 16 |
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% |
14097
2.62 KIPS |
|
|
Image Classification (HP)
|
99% |
18529
3.46 KIPS |
|
|
Image Classification (Q)
|
100% |
11575
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22393
363.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27336
443.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20549
334.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
315853
368.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
523771
611.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
275119
322.2 IPS |
|
|
Object Detection (SP)
|
100% |
18779
1.49 KIPS |
|
|
Object Detection (HP)
|
100% |
24092
1.91 KIPS |
|
|
Object Detection (Q)
|
89% |
14918
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
49337
586.2 IPS |
|
|
Face Detection (HP)
|
100% |
59369
705.4 IPS |
|
|
Face Detection (Q)
|
97% |
40975
488.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
94808
730.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
158836
1.22 KIPS |
|
|
Depth Estimation (Q)
|
75% |
68875
555.5 IPS |
|
|
Style Transfer (SP)
|
100% |
579087
744.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1081376
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
493971
637.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60969
2.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80585
2.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44238
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
4553
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2186
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5077
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5058
87.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2121
47.3 IPS |
