ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
4237
Single Precision Score
1785
Half Precision Score
7765
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 26 2025 04:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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% |
2955
549.5 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.8 IPS |
|
|
Image Classification (Q)
|
99% |
5853
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1092
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13708
222.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8974
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5501
6.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
24739
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2584
205.0 IPS |
|
|
Object Detection (HP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (Q)
|
86% |
7938
638.0 IPS |
|
|
Face Detection (SP)
|
100% |
7452
88.5 IPS |
|
|
Face Detection (HP)
|
100% |
1918
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
9824
117.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8479
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2482
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13547
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21222
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12465
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19833
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3225
119.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2226
82.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4989
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
1433
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1361
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2823
56.7 IPS |
