ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
35222
Single Precision Score
59060
Half Precision Score
27047
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:35 AM |
| Views | 4 |
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% |
13642
2.54 KIPS |
|
|
Image Classification (HP)
|
100% |
20891
3.89 KIPS |
|
|
Image Classification (Q)
|
100% |
11987
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27106
439.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
37864
613.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
24264
394.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
229185
267.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
673414
785.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
196794
230.5 IPS |
|
|
Object Detection (SP)
|
100% |
18192
1.44 KIPS |
|
|
Object Detection (HP)
|
100% |
26778
2.12 KIPS |
|
|
Object Detection (Q)
|
86% |
15707
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
53758
638.8 IPS |
|
|
Face Detection (HP)
|
100% |
78704
935.2 IPS |
|
|
Face Detection (Q)
|
97% |
44695
532.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
87737
676.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
166347
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65755
525.1 IPS |
|
|
Style Transfer (SP)
|
100% |
332272
427.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1092340
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
292204
376.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51906
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80426
2.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39899
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4718
6.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2259
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
6634
114.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6671
114.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3011
56.5 IPS |
