Skytech Gaming Skytech Custom Desktop
Geekbench AI Score
54508
Single Precision Score
81038
Half Precision Score
39647
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | Homex |
| Upload Date | May 07 2025 12:44 AM |
| Views | 39 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Skytech Gaming Skytech Custom Desktop |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI (MS-7D91) |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
20229
3.76 KIPS |
|
|
Image Classification (HP)
|
100% |
26578
4.94 KIPS |
|
|
Image Classification (Q)
|
100% |
17297
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
41005
664.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
51617
836.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
37060
602.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
455544
531.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
1059973
1.24 KIPS |
|
|
Pose Estimation (Q)
|
96% |
367149
430.1 IPS |
|
|
Object Detection (SP)
|
100% |
26752
2.12 KIPS |
|
|
Object Detection (HP)
|
100% |
34629
2.75 KIPS |
|
|
Object Detection (Q)
|
85% |
22375
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
76684
911.2 IPS |
|
|
Face Detection (HP)
|
100% |
98520
1.17 KIPS |
|
|
Face Detection (Q)
|
97% |
61385
732.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
123096
948.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
219987
1.69 KIPS |
|
|
Depth Estimation (Q)
|
77% |
86685
694.3 IPS |
|
|
Style Transfer (SP)
|
100% |
688120
884.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1927162
2.48 KIPS |
|
|
Style Transfer (Q)
|
98% |
571802
737.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
87279
3.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
117702
4.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60909
2.26 KIPS |
|
|
Text Classification (SP)
|
100% |
4965
6.63 KIPS |
|
|
Text Classification (HP)
|
100% |
6021
8.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2835
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
8138
140.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8195
141.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3469
65.1 IPS |
