ASUS System Product Name
Geekbench AI Score
49472
Single Precision Score
71991
Half Precision Score
35859
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | April 10 2025 05:23 PM |
| Views | 2 |
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% |
17787
3.31 KIPS |
|
|
Image Classification (HP)
|
100% |
22711
4.22 KIPS |
|
|
Image Classification (Q)
|
100% |
15351
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37744
611.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
46967
761.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
34233
556.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
429410
501.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
965983
1.13 KIPS |
|
|
Pose Estimation (Q)
|
96% |
320291
375.2 IPS |
|
|
Object Detection (SP)
|
100% |
24059
1.91 KIPS |
|
|
Object Detection (HP)
|
100% |
31028
2.46 KIPS |
|
|
Object Detection (Q)
|
85% |
20094
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
69534
826.2 IPS |
|
|
Face Detection (HP)
|
100% |
89299
1.06 KIPS |
|
|
Face Detection (Q)
|
97% |
57101
680.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
116754
899.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
200010
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78749
630.7 IPS |
|
|
Style Transfer (SP)
|
100% |
673097
865.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1780496
2.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
557104
718.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78089
2.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
99608
3.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55266
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4154
5.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4997
6.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2509
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
7144
123.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7390
127.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2993
56.1 IPS |
