NVIDIA GeForce RTX 3070 HP HP Z1 G8 Tower Desktop PC
Geekbench AI Score
16501
Single Precision Score
26168
Half Precision Score
10353
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | icemc |
| Upload Date | December 20 2024 10:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | HP HP Z1 G8 Tower Desktop PC |
| Motherboard | HP 889C |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5891
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
8245
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
3872
720.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10783
174.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15036
243.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8706
141.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
100361
117.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
273642
319.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
81576
95.5 IPS |
|
|
Object Detection (SP)
|
100% |
8456
670.7 IPS |
|
|
Object Detection (HP)
|
100% |
12342
979.0 IPS |
|
|
Object Detection (Q)
|
88% |
5471
438.7 IPS |
|
|
Face Detection (SP)
|
100% |
18404
218.7 IPS |
|
|
Face Detection (HP)
|
100% |
28596
339.8 IPS |
|
|
Face Detection (Q)
|
97% |
13592
162.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
39895
307.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
80401
619.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
26560
214.0 IPS |
|
|
Style Transfer (SP)
|
100% |
165382
212.6 IPS |
|
|
Style Transfer (HP)
|
100% |
394969
507.7 IPS |
|
|
Style Transfer (Q)
|
98% |
130640
168.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26808
989.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35321
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15423
571.1 IPS |
|
|
Text Classification (SP)
|
100% |
2643
3.53 KIPS |
|
|
Text Classification (HP)
|
99% |
3455
4.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1096
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1180
26.3 IPS |
