System manufacturer XF
Geekbench AI Score
3543
Single Precision Score
1421
Half Precision Score
4071
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 18 2025 02:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| 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% |
3211
597.2 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.8 IPS |
|
|
Image Classification (Q)
|
96% |
4366
815.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
3660
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6029
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
5109
5.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
11200
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2948
233.8 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
58% |
2391
261.2 IPS |
|
|
Face Detection (SP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
1223
14.5 IPS |
|
|
Face Detection (Q)
|
96% |
6618
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8154
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1819
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9492
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14824
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11814
15.2 IPS |
|
|
Style Transfer (Q)
|
87% |
13944
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2490
91.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2095
77.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3948
146.3 IPS |
|
|
Text Classification (SP)
|
100% |
1647
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
420
563.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1962
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2013
38.9 IPS |
