Amiya ASUS System Product Name
Geekbench AI Score
13021
Single Precision Score
22117
Half Precision Score
9055
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | comfiestsofa |
| Upload Date | January 17 2026 12:04 AM |
| Views | 5 |
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% |
5159
959.4 IPS |
|
|
Image Classification (HP)
|
100% |
8904
1.66 KIPS |
|
|
Image Classification (Q)
|
99% |
3826
713.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9489
153.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12991
210.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7582
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
67223
78.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
197652
230.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
54373
63.7 IPS |
|
|
Object Detection (SP)
|
100% |
6301
499.8 IPS |
|
|
Object Detection (HP)
|
100% |
10658
845.4 IPS |
|
|
Object Detection (Q)
|
84% |
4948
399.1 IPS |
|
|
Face Detection (SP)
|
100% |
16504
196.1 IPS |
|
|
Face Detection (HP)
|
100% |
25956
308.4 IPS |
|
|
Face Detection (Q)
|
97% |
13174
157.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
31584
243.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
60385
465.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
21686
173.7 IPS |
|
|
Style Transfer (SP)
|
100% |
107479
138.2 IPS |
|
|
Style Transfer (HP)
|
100% |
254544
327.2 IPS |
|
|
Style Transfer (Q)
|
98% |
90441
116.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21998
812.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32903
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13381
495.5 IPS |
|
|
Text Classification (SP)
|
100% |
1708
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2696
3.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1061
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3249
56.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1295
24.3 IPS |
