NOVATECH LTD PC-BX10852
Geekbench AI Score
884
Single Precision Score
523
Half Precision Score
751
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | Drummer |
| Upload Date | March 31 2025 02:42 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | NOVATECH LTD PC-BX10852 |
| Motherboard | Gigabyte Technology Co., Ltd. Z77-HD3 |
| Power Plan | Balanced |
| 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% |
373
69.4 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
96% |
598
111.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
330
5.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
543
8.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
1355
1.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1077
1.26 IPS |
|
|
Pose Estimation (Q)
|
87% |
1326
1.57 IPS |
|
|
Object Detection (SP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (Q)
|
90% |
505
40.4 IPS |
|
|
Face Detection (SP)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
612
7.27 IPS |
|
|
Face Detection (Q)
|
96% |
1127
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1554
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
783
6.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
1091
8.71 IPS |
|
|
Style Transfer (SP)
|
100% |
3416
4.39 IPS |
|
|
Style Transfer (HP)
|
100% |
2817
3.62 IPS |
|
|
Style Transfer (Q)
|
87% |
2945
3.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
714
26.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
673
25.0 IPS |
|
|
Text Classification (SP)
|
100% |
657
877.2 IPS |
|
|
Text Classification (HP)
|
100% |
344
459.8 IPS |
|
|
Text Classification (Q)
|
97% |
263
352.0 IPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.45 IPS |
|
|
Machine Translation (Q)
|
60% |
410
9.14 IPS |
