Amiya ASUS System Product Name
Geekbench AI Score
4052
Single Precision Score
4102
Half Precision Score
5877
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | comfiestsofa |
| Upload Date | January 16 2026 11:58 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-9900KF CPU @ 3.60GHz |
| 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% |
2533
471.0 IPS |
|
|
Image Classification (HP)
|
100% |
2574
478.6 IPS |
|
|
Image Classification (Q)
|
100% |
3849
715.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2913
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2991
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5037
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4688
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4654
5.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
10234
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
2507
198.8 IPS |
|
|
Object Detection (HP)
|
100% |
2564
203.4 IPS |
|
|
Object Detection (Q)
|
87% |
4078
327.0 IPS |
|
|
Face Detection (SP)
|
100% |
4616
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
4623
54.9 IPS |
|
|
Face Detection (Q)
|
97% |
11211
133.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6310
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6316
48.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
10807
85.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15807
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16192
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29780
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3150
116.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3240
119.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5916
219.1 IPS |
|
|
Text Classification (SP)
|
100% |
2776
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (Q)
|
91% |
835
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3419
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3411
58.7 IPS |
