AFTERSHOCK PC Rift 16X
Geekbench AI Score
3972
Single Precision Score
1322
Half Precision Score
5469
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 01:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| 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% |
2911
541.3 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.3 IPS |
|
|
Image Classification (Q)
|
99% |
5137
958.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
953
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2620
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7592
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3538
4.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
22817
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
2964
235.1 IPS |
|
|
Object Detection (HP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (Q)
|
86% |
4793
385.2 IPS |
|
|
Face Detection (SP)
|
100% |
8752
104.0 IPS |
|
|
Face Detection (HP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
8173
97.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8887
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1741
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
14269
113.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17545
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8831
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25551
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2824
104.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4154
153.8 IPS |
|
|
Text Classification (SP)
|
100% |
1252
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
639
852.3 IPS |
|
|
Text Classification (Q)
|
97% |
484
648.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1842
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2719
54.6 IPS |
