ASUS System Product Name
Geekbench AI Score
49732
Single Precision Score
73004
Half Precision Score
36370
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | April 20 2025 10:32 PM |
| Views | 3 |
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% |
18128
3.37 KIPS |
|
|
Image Classification (HP)
|
100% |
22809
4.24 KIPS |
|
|
Image Classification (Q)
|
100% |
15478
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38169
618.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
47463
769.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
34352
558.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
423900
494.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
998846
1.17 KIPS |
|
|
Pose Estimation (Q)
|
96% |
337482
395.3 IPS |
|
|
Object Detection (SP)
|
100% |
24545
1.95 KIPS |
|
|
Object Detection (HP)
|
100% |
31587
2.51 KIPS |
|
|
Object Detection (Q)
|
85% |
20663
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
70505
837.7 IPS |
|
|
Face Detection (HP)
|
100% |
90378
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
56680
675.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
113163
871.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
203694
1.57 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79962
640.5 IPS |
|
|
Style Transfer (SP)
|
100% |
655818
843.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1778461
2.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
528159
681.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78470
2.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102193
3.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55987
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
4329
5.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5054
6.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2614
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
7233
124.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7445
128.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3118
58.5 IPS |
