ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
9741
Single Precision Score
9725
Half Precision Score
15056
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 23 2025 12:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
6334
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6876
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9968
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8405
136.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3884
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14760
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33937
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
73549
86.2 IPS |
|
|
Object Detection (SP)
|
100% |
6108
484.5 IPS |
|
|
Object Detection (HP)
|
100% |
6071
481.6 IPS |
|
|
Object Detection (Q)
|
87% |
10204
818.9 IPS |
|
|
Face Detection (SP)
|
100% |
16634
197.7 IPS |
|
|
Face Detection (HP)
|
100% |
15955
189.6 IPS |
|
|
Face Detection (Q)
|
100% |
27760
329.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14895
114.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17863
137.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
33818
263.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42512
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49981
64.3 IPS |
|
|
Style Transfer (Q)
|
98% |
93237
120.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8974
331.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14202
524.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26136
967.9 IPS |
|
|
Text Classification (SP)
|
100% |
4256
5.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2087
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3985
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4283
73.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4316
74.3 IPS |
