ASUS System Product Name
Geekbench AI Score
44708
Single Precision Score
66847
Half Precision Score
33274
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 10 2025 06:35 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-F GAMING WIFI |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15701
2.92 KIPS |
|
|
Image Classification (HP)
|
100% |
21258
3.95 KIPS |
|
|
Image Classification (Q)
|
100% |
13820
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34333
556.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
44279
717.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
30977
503.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
387546
452.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
860004
1.00 KIPS |
|
|
Pose Estimation (Q)
|
96% |
300595
352.1 IPS |
|
|
Object Detection (SP)
|
100% |
21894
1.74 KIPS |
|
|
Object Detection (HP)
|
100% |
29526
2.34 KIPS |
|
|
Object Detection (Q)
|
85% |
18198
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
64429
765.6 IPS |
|
|
Face Detection (HP)
|
100% |
86050
1.02 KIPS |
|
|
Face Detection (Q)
|
97% |
52718
628.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
101381
781.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
181552
1.40 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73514
588.8 IPS |
|
|
Style Transfer (SP)
|
100% |
580756
746.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1557012
2.00 KIPS |
|
|
Style Transfer (Q)
|
98% |
491945
634.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67408
2.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89227
3.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48477
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4977
6.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2455
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6780
116.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6901
118.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3131
58.7 IPS |
