ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
3791
Single Precision Score
5312
Half Precision Score
2643
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 07:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2560
476.0 IPS |
|
|
Image Classification (HP)
|
100% |
3465
644.3 IPS |
|
|
Image Classification (Q)
|
99% |
1913
356.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5033
81.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1466
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9692
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14603
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
8316
9.75 IPS |
|
|
Object Detection (SP)
|
100% |
2764
219.2 IPS |
|
|
Object Detection (HP)
|
99% |
3346
266.1 IPS |
|
|
Object Detection (Q)
|
85% |
1863
149.9 IPS |
|
|
Face Detection (SP)
|
100% |
4908
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
5510
65.5 IPS |
|
|
Face Detection (Q)
|
97% |
3152
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7884
60.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13263
102.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
6071
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24625
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35811
46.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19050
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3934
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6653
245.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2880
106.6 IPS |
|
|
Text Classification (SP)
|
86% |
630
851.6 IPS |
|
|
Text Classification (HP)
|
99% |
616
821.8 IPS |
|
|
Text Classification (Q)
|
84% |
438
594.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2053
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (Q)
|
70% |
835
15.7 IPS |
