Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
9567
Single Precision Score
16205
Half Precision Score
6945
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | Vadim2S |
| Upload Date | August 07 2025 06:18 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. H77-DS3H |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3470 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4037
750.7 IPS |
|
|
Image Classification (HP)
|
99% |
6671
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
3340
621.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5833
94.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8310
134.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4904
79.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
50284
58.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
143838
167.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
41333
48.4 IPS |
|
|
Object Detection (SP)
|
100% |
4805
381.1 IPS |
|
|
Object Detection (HP)
|
100% |
8296
658.1 IPS |
|
|
Object Detection (Q)
|
84% |
3929
316.9 IPS |
|
|
Face Detection (SP)
|
100% |
10629
126.3 IPS |
|
|
Face Detection (HP)
|
100% |
16197
192.5 IPS |
|
|
Face Detection (Q)
|
97% |
8819
105.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24280
187.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
49077
379.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
17682
141.5 IPS |
|
|
Style Transfer (SP)
|
100% |
84621
108.8 IPS |
|
|
Style Transfer (HP)
|
100% |
200265
257.4 IPS |
|
|
Style Transfer (Q)
|
98% |
66936
86.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15346
566.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24925
920.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9435
349.4 IPS |
|
|
Text Classification (SP)
|
100% |
1520
2.03 KIPS |
|
|
Text Classification (HP)
|
99% |
2116
2.82 KIPS |
|
|
Text Classification (Q)
|
97% |
914
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1091
20.5 IPS |
