ASUS System Product Name
Geekbench AI Score
49005
Single Precision Score
72500
Half Precision Score
35900
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | June 03 2025 05:37 PM |
| Views | 17 |
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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18099
3.37 KIPS |
|
|
Image Classification (HP)
|
100% |
22831
4.25 KIPS |
|
|
Image Classification (Q)
|
100% |
15548
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37703
611.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
45893
744.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
33749
548.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
415515
484.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
1015631
1.19 KIPS |
|
|
Pose Estimation (Q)
|
96% |
328449
384.7 IPS |
|
|
Object Detection (SP)
|
100% |
24120
1.91 KIPS |
|
|
Object Detection (HP)
|
100% |
30775
2.44 KIPS |
|
|
Object Detection (Q)
|
85% |
19976
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
69093
821.0 IPS |
|
|
Face Detection (HP)
|
100% |
88445
1.05 KIPS |
|
|
Face Detection (Q)
|
97% |
56014
667.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
110199
849.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
202788
1.56 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76995
616.7 IPS |
|
|
Style Transfer (SP)
|
100% |
646144
830.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1772908
2.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
533775
688.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76651
2.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101359
3.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55625
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
4344
5.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5135
6.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2572
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
7130
122.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7403
127.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3136
58.8 IPS |
