Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
855
Single Precision Score
482
Half Precision Score
844
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | GladOS |
| Upload Date | January 27 2025 09:42 AM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3770 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. Z77-D3H |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
632
117.4 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
96% |
671
125.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (Q)
|
97% |
530
8.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
1148
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
924
1.08 IPS |
|
|
Pose Estimation (Q)
|
86% |
1254
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
511
40.6 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (Q)
|
58% |
478
52.2 IPS |
|
|
Face Detection (SP)
|
100% |
1465
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
641
7.62 IPS |
|
|
Face Detection (Q)
|
96% |
1490
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1473
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
692
5.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
1478
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2779
3.57 IPS |
|
|
Style Transfer (HP)
|
100% |
2324
2.99 IPS |
|
|
Style Transfer (Q)
|
87% |
2848
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
579
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
521
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
629
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
491
655.4 IPS |
|
|
Text Classification (HP)
|
100% |
253
338.2 IPS |
|
|
Text Classification (Q)
|
97% |
268
358.4 IPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (Q)
|
68% |
818
15.8 IPS |
