Gigabyte Technology Co., Ltd. X58-USB3
Geekbench AI Score
12288
Single Precision Score
17602
Half Precision Score
10416
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | GreekGeek |
| Upload Date | January 22 2025 05:27 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X58-USB3 |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon W3680 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5154
958.5 IPS |
|
|
Image Classification (HP)
|
99% |
7243
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
4793
891.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4939
80.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5597
90.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4795
78.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
87913
102.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
198321
231.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
78509
92.0 IPS |
|
|
Object Detection (SP)
|
100% |
5971
473.7 IPS |
|
|
Object Detection (HP)
|
100% |
8182
649.0 IPS |
|
|
Object Detection (Q)
|
84% |
5484
442.3 IPS |
|
|
Face Detection (SP)
|
100% |
12773
151.8 IPS |
|
|
Face Detection (HP)
|
100% |
16022
190.4 IPS |
|
|
Face Detection (Q)
|
97% |
12003
143.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
36367
280.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
64427
496.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
30770
245.9 IPS |
|
|
Style Transfer (SP)
|
100% |
135600
174.3 IPS |
|
|
Style Transfer (HP)
|
100% |
281974
362.5 IPS |
|
|
Style Transfer (Q)
|
98% |
122394
157.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23902
882.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33756
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18500
685.0 IPS |
|
|
Text Classification (SP)
|
100% |
2516
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
2807
3.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1706
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1551
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1065
20.0 IPS |
