ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
6587
Single Precision Score
10094
Half Precision Score
15515
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 26 2025 04:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
4475
832.1 IPS |
|
|
Image Classification (HP)
|
100% |
7431
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
10473
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6935
112.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3583
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10686
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
35152
41.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75832
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
3255
258.2 IPS |
|
|
Object Detection (HP)
|
100% |
6122
485.6 IPS |
|
|
Object Detection (Q)
|
87% |
10195
818.2 IPS |
|
|
Face Detection (SP)
|
100% |
10809
128.4 IPS |
|
|
Face Detection (HP)
|
100% |
17627
209.4 IPS |
|
|
Face Detection (Q)
|
100% |
33655
399.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10611
81.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18018
138.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
34226
266.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30342
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52606
67.6 IPS |
|
|
Style Transfer (Q)
|
98% |
96183
124.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4991
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14401
531.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24793
918.2 IPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2198
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2197
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2809
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4619
79.6 IPS |
