ASUS System Product Name
Geekbench AI Score
38845
Single Precision Score
53962
Half Precision Score
29184
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | joostl |
| Upload Date | January 29 2025 09:37 PM |
| Views | 13 |
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. ProArt X670E-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14502
2.70 KIPS |
|
|
Image Classification (HP)
|
99% |
19588
3.65 KIPS |
|
|
Image Classification (Q)
|
100% |
12319
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23172
375.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
28898
468.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21852
355.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
314862
367.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
539553
629.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
272428
319.2 IPS |
|
|
Object Detection (SP)
|
100% |
19904
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
26474
2.10 KIPS |
|
|
Object Detection (Q)
|
86% |
16441
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
54335
645.6 IPS |
|
|
Face Detection (HP)
|
100% |
68161
809.9 IPS |
|
|
Face Detection (Q)
|
97% |
45754
545.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
94739
729.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
162231
1.25 KIPS |
|
|
Depth Estimation (Q)
|
77% |
69103
552.7 IPS |
|
|
Style Transfer (SP)
|
100% |
573198
736.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1137795
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
486007
626.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62791
2.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83299
3.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44591
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
4637
6.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2138
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5414
93.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5328
91.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2538
47.6 IPS |
