Gigabyte Technology Co., Ltd. P55-UD3R
Geekbench AI Score
7511
Single Precision Score
6483
Half Precision Score
5640
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 20 2025 12:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. P55-UD3R |
| Motherboard | Gigabyte Technology Co., Ltd. P55-UD3R |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-860 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 30 Stepping 5 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3234
601.4 IPS |
|
|
Image Classification (HP)
|
100% |
3259
606.1 IPS |
|
|
Image Classification (Q)
|
100% |
2713
504.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4498
72.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4186
67.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3824
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
35080
40.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
23015
26.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
30019
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
3785
300.2 IPS |
|
|
Object Detection (HP)
|
100% |
3825
303.4 IPS |
|
|
Object Detection (Q)
|
83% |
3192
257.9 IPS |
|
|
Face Detection (SP)
|
100% |
7750
92.1 IPS |
|
|
Face Detection (HP)
|
100% |
7713
91.6 IPS |
|
|
Face Detection (Q)
|
97% |
6567
78.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19682
151.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15752
121.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
14714
117.9 IPS |
|
|
Style Transfer (SP)
|
100% |
63741
81.9 IPS |
|
|
Style Transfer (HP)
|
100% |
44256
56.9 IPS |
|
|
Style Transfer (Q)
|
98% |
51867
66.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11698
431.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9800
361.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7746
286.8 IPS |
|
|
Text Classification (SP)
|
100% |
1449
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1148
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
898
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1797
30.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1808
31.2 IPS |
|
|
Machine Translation (Q)
|
70% |
941
17.6 IPS |
