Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
561
Single Precision Score
348
Half Precision Score
588
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | Surinder |
| Upload Date | February 06 2025 04:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3770K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. Z77X-UD5H |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
403
74.9 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (Q)
|
96% |
474
88.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
331
5.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
771
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (Q)
|
86% |
965
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.9 IPS |
|
|
Object Detection (HP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (Q)
|
58% |
315
34.4 IPS |
|
|
Face Detection (SP)
|
100% |
980
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
437
5.19 IPS |
|
|
Face Detection (Q)
|
96% |
944
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
838
6.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
530
4.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
1024
8.15 IPS |
|
|
Style Transfer (SP)
|
100% |
2054
2.64 IPS |
|
|
Style Transfer (HP)
|
100% |
1793
2.31 IPS |
|
|
Style Transfer (Q)
|
87% |
2179
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
351
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
423
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
337
450.0 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.7 IPS |
|
|
Text Classification (Q)
|
97% |
194
260.3 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.90 IPS |
|
|
Machine Translation (Q)
|
68% |
607
11.7 IPS |
