ASUS System Product Name
Geekbench AI Score
46992
Single Precision Score
70364
Half Precision Score
34398
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | April 20 2025 09:51 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% |
18146
3.37 KIPS |
|
|
Image Classification (HP)
|
100% |
22558
4.20 KIPS |
|
|
Image Classification (Q)
|
100% |
15403
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35095
568.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
44987
729.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
31494
512.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
393123
458.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
933594
1.09 KIPS |
|
|
Pose Estimation (Q)
|
96% |
306195
358.7 IPS |
|
|
Object Detection (SP)
|
100% |
24421
1.94 KIPS |
|
|
Object Detection (HP)
|
100% |
31222
2.48 KIPS |
|
|
Object Detection (Q)
|
85% |
20248
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
61453
730.2 IPS |
|
|
Face Detection (HP)
|
100% |
81068
963.3 IPS |
|
|
Face Detection (Q)
|
97% |
50060
596.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
104158
802.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
197068
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75041
601.0 IPS |
|
|
Style Transfer (SP)
|
100% |
589755
758.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1657749
2.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
483329
623.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72666
2.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102072
3.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51406
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
4320
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5034
6.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2591
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
7249
124.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7391
127.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3189
59.8 IPS |
