NVIDIA GeForce RTX 4070 SUPER HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
24404
Single Precision Score
38401
Half Precision Score
18409
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | icemc |
| Upload Date | August 29 2024 06:20 AM |
| Views | 357 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | HP HP Z2 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9974
1.85 KIPS |
|
|
Image Classification (HP)
|
99% |
16042
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
8994
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15093
244.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19058
308.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14235
231.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
151452
176.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
383805
447.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
135689
158.9 IPS |
|
|
Object Detection (SP)
|
100% |
11741
931.3 IPS |
|
|
Object Detection (HP)
|
100% |
19134
1.52 KIPS |
|
|
Object Detection (Q)
|
89% |
10035
803.3 IPS |
|
|
Face Detection (SP)
|
100% |
29622
352.0 IPS |
|
|
Face Detection (HP)
|
100% |
40819
485.0 IPS |
|
|
Face Detection (Q)
|
97% |
21394
255.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
53336
410.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
103754
799.4 IPS |
|
|
Depth Estimation (Q)
|
70% |
45079
377.4 IPS |
|
|
Style Transfer (SP)
|
100% |
276943
356.0 IPS |
|
|
Style Transfer (HP)
|
100% |
643594
827.3 IPS |
|
|
Style Transfer (Q)
|
98% |
234458
302.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43970
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58328
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30928
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4818
6.43 KIPS |
|
|
Text Classification (Q)
|
97% |
2131
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4078
70.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4055
69.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1721
38.4 IPS |
