System manufacturer XF
Geekbench AI Score
4794
Single Precision Score
4816
Half Precision Score
6959
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 18 2025 03:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer XF |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B365-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3060
569.0 IPS |
|
|
Image Classification (HP)
|
100% |
3089
574.5 IPS |
|
|
Image Classification (Q)
|
100% |
4834
899.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3393
55.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3455
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5361
87.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6534
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
6501
7.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
12702
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
2772
219.9 IPS |
|
|
Object Detection (HP)
|
100% |
2906
230.5 IPS |
|
|
Object Detection (Q)
|
87% |
4911
393.9 IPS |
|
|
Face Detection (SP)
|
100% |
4727
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
4635
55.1 IPS |
|
|
Face Detection (Q)
|
97% |
13299
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7957
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8087
62.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
13277
104.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19341
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19093
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37052
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3802
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3804
140.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7316
271.0 IPS |
|
|
Text Classification (SP)
|
100% |
3153
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
3150
4.20 KIPS |
|
|
Text Classification (Q)
|
91% |
895
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3884
66.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3850
66.3 IPS |
