THUNDEROBOT THUNDEROBOT PC
Geekbench AI Score
1644
Single Precision Score
899
Half Precision Score
2242
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 06:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | THUNDEROBOT THUNDEROBOT PC |
| Motherboard | THUNDEROBOT Z390M Pro4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1233
229.3 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (Q)
|
96% |
2099
391.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
1311
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2856
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2410
2.81 IPS |
|
|
Pose Estimation (Q)
|
86% |
5784
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
1235
98.0 IPS |
|
|
Object Detection (HP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (Q)
|
58% |
1387
151.6 IPS |
|
|
Face Detection (SP)
|
100% |
1866
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
4109
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3287
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1275
9.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
4445
35.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6240
8.02 IPS |
|
|
Style Transfer (HP)
|
100% |
5239
6.73 IPS |
|
|
Style Transfer (Q)
|
87% |
9083
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
988
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1707
63.2 IPS |
|
|
Text Classification (SP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
598
798.1 IPS |
|
|
Text Classification (Q)
|
97% |
389
521.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.55 IPS |
|
|
Machine Translation (Q)
|
68% |
1324
25.6 IPS |
