ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
35188
Single Precision Score
58838
Half Precision Score
26981
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:15 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% |
13693
2.55 KIPS |
|
|
Image Classification (HP)
|
100% |
20596
3.83 KIPS |
|
|
Image Classification (Q)
|
100% |
12050
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26728
433.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
37664
610.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23965
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
231142
269.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
676641
789.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
197521
231.4 IPS |
|
|
Object Detection (SP)
|
100% |
18254
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
26708
2.12 KIPS |
|
|
Object Detection (Q)
|
86% |
15642
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
53654
637.5 IPS |
|
|
Face Detection (HP)
|
100% |
77660
922.8 IPS |
|
|
Face Detection (Q)
|
97% |
44688
532.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
87790
676.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
168975
1.30 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66026
527.3 IPS |
|
|
Style Transfer (SP)
|
100% |
332623
427.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1080925
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
289452
373.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51588
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79495
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39645
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4724
6.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2234
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6612
113.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6659
114.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3030
56.8 IPS |
