HP HP Pavilion Gaming Desktop 690-07xx
Geekbench AI Score
9187
Single Precision Score
7592
Half Precision Score
6649
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | belias03 |
| Upload Date | October 16 2025 03:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | HP HP Pavilion Gaming Desktop 690-07xx |
| Motherboard | HP 843B |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700F |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3149
585.5 IPS |
|
|
Image Classification (HP)
|
100% |
3146
585.0 IPS |
|
|
Image Classification (Q)
|
99% |
2740
511.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6999
113.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5968
96.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5905
96.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
46882
54.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
27558
32.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
39186
45.9 IPS |
|
|
Object Detection (SP)
|
100% |
4591
364.2 IPS |
|
|
Object Detection (HP)
|
100% |
4355
345.5 IPS |
|
|
Object Detection (Q)
|
83% |
3735
301.8 IPS |
|
|
Face Detection (SP)
|
100% |
10826
128.6 IPS |
|
|
Face Detection (HP)
|
100% |
9196
109.3 IPS |
|
|
Face Detection (Q)
|
97% |
7997
95.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22940
176.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17783
137.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17023
135.8 IPS |
|
|
Style Transfer (SP)
|
100% |
76981
99.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52706
67.8 IPS |
|
|
Style Transfer (Q)
|
98% |
63440
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12323
455.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10737
396.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8234
304.9 IPS |
|
|
Text Classification (SP)
|
100% |
1477
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
1186
1.58 KIPS |
|
|
Text Classification (Q)
|
97% |
908
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2595
44.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2574
44.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1105
20.7 IPS |
