ASUS System Product Name
Geekbench AI Score
38305
Single Precision Score
52401
Half Precision Score
29245
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | April 18 2025 05:09 PM |
| Views | 5 |
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. TUF GAMING B660M-PLUS D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13324
2.48 KIPS |
|
|
Image Classification (HP)
|
99% |
17329
3.23 KIPS |
|
|
Image Classification (Q)
|
100% |
11789
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24877
403.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
31185
505.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22765
370.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
318288
371.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
545789
636.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
272378
319.1 IPS |
|
|
Object Detection (SP)
|
100% |
18623
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
24104
1.91 KIPS |
|
|
Object Detection (Q)
|
86% |
15514
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
51572
612.8 IPS |
|
|
Face Detection (HP)
|
100% |
66230
787.0 IPS |
|
|
Face Detection (Q)
|
97% |
45425
541.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
98838
761.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
160552
1.24 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72452
579.5 IPS |
|
|
Style Transfer (SP)
|
100% |
566053
727.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1095925
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
481855
621.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60322
2.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79332
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44936
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3480
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
4213
5.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2129
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5715
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5638
97.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2660
49.9 IPS |
