ECS Z790H7-A
Geekbench AI Score
29966
Single Precision Score
34065
Half Precision Score
23236
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 08:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 GRE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ECS Z790H7-A |
| Motherboard | ECS Z790H7-A |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13186
2.45 KIPS |
|
|
Image Classification (HP)
|
100% |
15411
2.87 KIPS |
|
|
Image Classification (Q)
|
99% |
12375
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20732
336.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15487
251.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13560
220.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
239835
279.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
421101
491.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
196925
230.7 IPS |
|
|
Object Detection (SP)
|
100% |
13196
1.05 KIPS |
|
|
Object Detection (HP)
|
99% |
9524
755.5 IPS |
|
|
Object Detection (Q)
|
87% |
10775
865.4 IPS |
|
|
Face Detection (SP)
|
100% |
39963
474.8 IPS |
|
|
Face Detection (HP)
|
100% |
33958
403.5 IPS |
|
|
Face Detection (Q)
|
97% |
35156
419.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
67044
516.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87600
674.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
55986
448.7 IPS |
|
|
Style Transfer (SP)
|
100% |
371379
477.4 IPS |
|
|
Style Transfer (HP)
|
100% |
568129
730.3 IPS |
|
|
Style Transfer (Q)
|
98% |
306123
394.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41332
1.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59800
2.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30685
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
4576
6.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4559
6.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2648
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4772
82.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2633
49.4 IPS |
