| User | Nerdbench |
| Upload Date | January 11 2026 05:11 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AtomMan Series |
| Motherboard | Meigao Innovation Technology (Shen Zhen) Co.,Ltd RPDMB |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8464
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
15877
2.95 KIPS |
|
|
Image Classification (Q)
|
100% |
6428
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13396
217.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17905
290.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12423
202.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
104886
122.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
313307
365.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
95443
111.8 IPS |
|
|
Object Detection (SP)
|
100% |
10357
821.5 IPS |
|
|
Object Detection (HP)
|
100% |
17571
1.39 KIPS |
|
|
Object Detection (Q)
|
83% |
7951
642.4 IPS |
|
|
Face Detection (SP)
|
100% |
23092
274.4 IPS |
|
|
Face Detection (HP)
|
100% |
41017
487.4 IPS |
|
|
Face Detection (Q)
|
97% |
22187
264.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
44623
343.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
108345
834.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
35579
284.0 IPS |
|
|
Style Transfer (SP)
|
100% |
153629
197.5 IPS |
|
|
Style Transfer (HP)
|
100% |
492984
633.7 IPS |
|
|
Style Transfer (Q)
|
98% |
134946
174.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31641
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60072
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22894
847.7 IPS |
|
|
Text Classification (SP)
|
100% |
3622
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4545
6.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2201
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3952
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5126
88.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1667
31.3 IPS |