ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
35806
Single Precision Score
60105
Half Precision Score
27234
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 10:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG G700TF |
| Motherboard | ASUSTeK COMPUTER INC. B860M MAX GAMING AX |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14272
2.65 KIPS |
|
|
Image Classification (HP)
|
100% |
21073
3.92 KIPS |
|
|
Image Classification (Q)
|
100% |
12408
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27099
439.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
38256
620.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
24397
396.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
222956
260.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
682140
795.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
187826
220.0 IPS |
|
|
Object Detection (SP)
|
100% |
18393
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
28001
2.22 KIPS |
|
|
Object Detection (Q)
|
86% |
15906
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
54292
645.1 IPS |
|
|
Face Detection (HP)
|
100% |
79886
949.2 IPS |
|
|
Face Detection (Q)
|
97% |
44546
531.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
87860
676.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
168519
1.30 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65572
523.6 IPS |
|
|
Style Transfer (SP)
|
100% |
330662
425.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1103105
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
290880
375.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54022
1.99 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82721
3.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41025
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3810
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4805
6.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2332
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6729
115.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6771
116.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3054
57.3 IPS |
