Amiya ASUS System Product Name
Geekbench AI Score
13044
Single Precision Score
21951
Half Precision Score
8968
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | comfiestsofa |
| Upload Date | January 17 2026 12:02 AM |
| Views | 6 |
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% |
5140
956.0 IPS |
|
|
Image Classification (HP)
|
100% |
8665
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
3867
721.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9433
152.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12760
206.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7567
123.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
67630
78.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
197438
230.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
54371
63.7 IPS |
|
|
Object Detection (SP)
|
100% |
6349
503.6 IPS |
|
|
Object Detection (HP)
|
100% |
10911
865.5 IPS |
|
|
Object Detection (Q)
|
84% |
5044
406.8 IPS |
|
|
Face Detection (SP)
|
100% |
16633
197.6 IPS |
|
|
Face Detection (HP)
|
100% |
25852
307.2 IPS |
|
|
Face Detection (Q)
|
97% |
13096
156.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
32188
248.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
59769
460.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
21671
173.5 IPS |
|
|
Style Transfer (SP)
|
100% |
106324
136.7 IPS |
|
|
Style Transfer (HP)
|
100% |
249809
321.1 IPS |
|
|
Style Transfer (Q)
|
98% |
90138
116.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21580
796.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32130
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12989
481.0 IPS |
|
|
Text Classification (SP)
|
100% |
1809
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2776
3.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1001
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3083
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1261
23.7 IPS |
