System manufacturer XF
Geekbench AI Score
3461
Single Precision Score
1413
Half Precision Score
4046
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 18 2025 03:01 PM |
| Views | 5 |
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% |
3140
583.9 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.3 IPS |
|
|
Image Classification (Q)
|
96% |
4290
801.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
3602
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5988
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4981
5.81 IPS |
|
|
Pose Estimation (Q)
|
86% |
10824
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2763
219.1 IPS |
|
|
Object Detection (HP)
|
100% |
594
47.1 IPS |
|
|
Object Detection (Q)
|
58% |
2422
264.6 IPS |
|
|
Face Detection (SP)
|
100% |
3703
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
1216
14.4 IPS |
|
|
Face Detection (Q)
|
96% |
6574
78.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7961
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1852
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9371
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13838
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11268
14.5 IPS |
|
|
Style Transfer (Q)
|
87% |
14036
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2597
95.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2191
80.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3943
146.1 IPS |
|
|
Text Classification (SP)
|
100% |
1601
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
413
553.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2064
39.9 IPS |
