ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
35318
Single Precision Score
58499
Half Precision Score
26996
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:03 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% |
13811
2.57 KIPS |
|
|
Image Classification (HP)
|
100% |
20395
3.79 KIPS |
|
|
Image Classification (Q)
|
100% |
12018
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27045
438.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
37824
613.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
24213
393.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
232115
270.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
676049
788.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
195118
228.6 IPS |
|
|
Object Detection (SP)
|
100% |
18225
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
26759
2.12 KIPS |
|
|
Object Detection (Q)
|
86% |
15664
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
53850
639.9 IPS |
|
|
Face Detection (HP)
|
100% |
78176
928.9 IPS |
|
|
Face Detection (Q)
|
97% |
44723
533.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
88321
680.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
159675
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66076
527.7 IPS |
|
|
Style Transfer (SP)
|
100% |
332180
427.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1084436
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
291782
376.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51499
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79098
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39898
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4721
6.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2232
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6605
113.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6654
114.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3011
56.5 IPS |
