ASRock Z790 PG Riptide
Geekbench AI Score
29437
Single Precision Score
52627
Half Precision Score
22666
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 02 2025 08:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock Z790 PG Riptide |
| Motherboard | ASRock Z790 PG Riptide |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11636
2.16 KIPS |
|
|
Image Classification (HP)
|
100% |
20664
3.84 KIPS |
|
|
Image Classification (Q)
|
100% |
10504
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22137
358.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
34973
566.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19971
324.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
163333
190.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
465947
543.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
141490
165.7 IPS |
|
|
Object Detection (SP)
|
100% |
15529
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
26201
2.08 KIPS |
|
|
Object Detection (Q)
|
83% |
13295
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
40355
479.5 IPS |
|
|
Face Detection (HP)
|
100% |
60956
724.3 IPS |
|
|
Face Detection (Q)
|
97% |
34351
409.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
68144
525.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
128797
992.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
53766
429.1 IPS |
|
|
Style Transfer (SP)
|
100% |
222169
285.6 IPS |
|
|
Style Transfer (HP)
|
100% |
773290
994.1 IPS |
|
|
Style Transfer (Q)
|
98% |
193106
249.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42171
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81851
3.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33449
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
4261
5.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5333
7.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2506
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6814
117.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6971
120.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3035
56.9 IPS |
