ASUS System Product Name
Geekbench AI Score
46951
Single Precision Score
69874
Half Precision Score
34172
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | April 20 2025 09:48 PM |
| Views | 1 |
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 MAXIMUS Z690 HERO EVA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17990
3.35 KIPS |
|
|
Image Classification (HP)
|
100% |
22279
4.14 KIPS |
|
|
Image Classification (Q)
|
100% |
15245
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34689
562.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
44534
721.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
31548
513.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
404066
471.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
907649
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
314097
367.9 IPS |
|
|
Object Detection (SP)
|
100% |
24293
1.93 KIPS |
|
|
Object Detection (HP)
|
100% |
30809
2.44 KIPS |
|
|
Object Detection (Q)
|
85% |
20442
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
61183
727.0 IPS |
|
|
Face Detection (HP)
|
100% |
81407
967.3 IPS |
|
|
Face Detection (Q)
|
97% |
49238
587.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
103956
800.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
196501
1.51 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74421
596.1 IPS |
|
|
Style Transfer (SP)
|
100% |
586186
753.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1643078
2.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
474020
611.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72614
2.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101601
3.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51950
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
4322
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5095
6.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2498
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
7263
125.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7350
126.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3120
58.5 IPS |
