AFTERSHOCK PC Rift 16X
Geekbench AI Score
1774
Single Precision Score
1804
Half Precision Score
1204
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 01:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | AFTERSHOCK PC Rift 16X |
| Motherboard | AFTERSHOCK PC Rift 16X |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
765
142.4 IPS |
|
|
Image Classification (HP)
|
100% |
782
145.4 IPS |
|
|
Image Classification (Q)
|
100% |
668
124.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1080
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1218
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
825
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5566
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
6102
7.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
3746
4.39 IPS |
|
|
Object Detection (SP)
|
100% |
854
67.7 IPS |
|
|
Object Detection (HP)
|
98% |
739
58.8 IPS |
|
|
Object Detection (Q)
|
86% |
710
57.1 IPS |
|
|
Face Detection (SP)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
1889
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
1297
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3244
25.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3587
27.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2383
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11202
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15391
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
8420
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1867
69.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2703
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
963
35.6 IPS |
|
|
Text Classification (SP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
406
541.4 IPS |
|
|
Text Classification (Q)
|
97% |
434
580.8 IPS |
|
|
Machine Translation (SP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
70% |
402
7.53 IPS |
