Notebook X170SM
Geekbench AI Score
13940
Single Precision Score
19793
Half Precision Score
9489
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tlywly |
| Upload Date | August 16 2024 06:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Super |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Notebook X170SM |
| Motherboard | Notebook X170SM |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6191
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
8241
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
4337
806.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7239
117.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8292
134.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6259
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
83567
97.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
211716
247.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
67286
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
7489
594.0 IPS |
|
|
Object Detection (HP)
|
100% |
10831
859.1 IPS |
|
|
Object Detection (Q)
|
89% |
5781
462.7 IPS |
|
|
Face Detection (SP)
|
100% |
14662
174.2 IPS |
|
|
Face Detection (HP)
|
100% |
20609
244.9 IPS |
|
|
Face Detection (Q)
|
97% |
11374
135.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
36670
282.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
57252
441.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
24560
199.7 IPS |
|
|
Style Transfer (SP)
|
100% |
121026
155.6 IPS |
|
|
Style Transfer (HP)
|
100% |
265505
341.3 IPS |
|
|
Style Transfer (Q)
|
98% |
99846
128.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25437
939.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33514
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15412
570.7 IPS |
|
|
Text Classification (SP)
|
100% |
2498
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1273
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2391
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2387
41.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1025
22.9 IPS |
