ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
15893
Single Precision Score
29875
Half Precision Score
12464
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 26 2025 04:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG G700TF |
| Motherboard | ASUSTeK COMPUTER INC. B860M MAX GAMING AX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11169
2.08 KIPS |
|
|
Image Classification (HP)
|
100% |
19821
3.69 KIPS |
|
|
Image Classification (Q)
|
100% |
10062
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24649
399.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
35579
576.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21796
354.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
156107
182.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
679506
792.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
135748
159.0 IPS |
|
|
Object Detection (SP)
|
100% |
13897
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
24627
1.95 KIPS |
|
|
Object Detection (Q)
|
86% |
11883
954.8 IPS |
|
|
Face Detection (SP)
|
100% |
13808
164.1 IPS |
|
|
Face Detection (HP)
|
100% |
27495
326.7 IPS |
|
|
Face Detection (Q)
|
97% |
22468
267.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
34530
266.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
63564
489.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
28374
226.6 IPS |
|
|
Style Transfer (SP)
|
100% |
119133
153.1 IPS |
|
|
Style Transfer (HP)
|
100% |
376495
484.0 IPS |
|
|
Style Transfer (Q)
|
98% |
97801
126.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15788
583.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20084
741.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12120
448.8 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1264
1.69 KIPS |
|
|
Text Classification (Q)
|
97% |
467
625.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2873
49.5 IPS |
|
|
Machine Translation (Q)
|
70% |
725
13.6 IPS |
