Amiya ASUS System Product Name
Geekbench AI Score
12867
Single Precision Score
21698
Half Precision Score
8985
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | comfiestsofa |
| Upload Date | January 17 2026 12:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z390-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4951
920.6 IPS |
|
|
Image Classification (HP)
|
100% |
8855
1.65 KIPS |
|
|
Image Classification (Q)
|
99% |
3886
724.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9370
151.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12912
209.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7541
122.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
66603
77.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
191455
223.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
55847
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
6301
499.8 IPS |
|
|
Object Detection (HP)
|
100% |
10456
829.4 IPS |
|
|
Object Detection (Q)
|
84% |
4769
384.6 IPS |
|
|
Face Detection (SP)
|
100% |
16301
193.7 IPS |
|
|
Face Detection (HP)
|
100% |
25586
304.0 IPS |
|
|
Face Detection (Q)
|
97% |
12952
154.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
31773
244.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
59195
456.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
22190
177.7 IPS |
|
|
Style Transfer (SP)
|
100% |
109972
141.4 IPS |
|
|
Style Transfer (HP)
|
100% |
254313
326.9 IPS |
|
|
Style Transfer (Q)
|
98% |
88502
114.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20623
761.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31592
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13205
489.0 IPS |
|
|
Text Classification (SP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2686
3.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1022
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1281
24.0 IPS |
