ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
6998
Single Precision Score
2584
Half Precision Score
11741
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 17 2025 01:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265F |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG G700TF |
| Motherboard | ASUSTeK COMPUTER INC. B860M MAX GAMING AX |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265F |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5680
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
830
154.3 IPS |
|
|
Image Classification (Q)
|
99% |
10258
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2563
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1666
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16465
267.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14391
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
8291
9.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
48578
57.0 IPS |
|
|
Object Detection (SP)
|
100% |
5326
422.5 IPS |
|
|
Object Detection (HP)
|
100% |
1154
91.5 IPS |
|
|
Object Detection (Q)
|
86% |
11965
961.6 IPS |
|
|
Face Detection (SP)
|
100% |
15610
185.5 IPS |
|
|
Face Detection (HP)
|
100% |
2298
27.3 IPS |
|
|
Face Detection (Q)
|
97% |
13725
163.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15998
123.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3614
27.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
24163
192.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30703
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21552
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30962
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5155
190.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3539
130.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6498
240.6 IPS |
|
|
Text Classification (SP)
|
100% |
2019
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1069
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1675
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3167
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1487
25.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4539
91.2 IPS |
