ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
1294
Single Precision Score
735
Half Precision Score
2278
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | aksubram |
| Upload Date | December 20 2025 07:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG G700TF |
| Motherboard | ASUSTeK COMPUTER INC. B860M MAX GAMING AX |
| Power Plan | High performance |
| 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% |
387
72.0 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (Q)
|
99% |
799
149.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1589
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3776
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2814
3.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
8015
9.40 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.7 IPS |
|
|
Object Detection (Q)
|
86% |
908
73.0 IPS |
|
|
Face Detection (SP)
|
100% |
1239
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
592
7.03 IPS |
|
|
Face Detection (Q)
|
97% |
2605
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1410
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
796
6.14 IPS |
|
|
Depth Estimation (Q)
|
78% |
2789
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7537
9.69 IPS |
|
|
Style Transfer (HP)
|
100% |
6445
8.28 IPS |
|
|
Style Transfer (Q)
|
98% |
8653
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
562
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3748
138.8 IPS |
|
|
Text Classification (SP)
|
100% |
1732
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
617
823.2 IPS |
|
|
Text Classification (Q)
|
97% |
1375
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2075
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
1258
25.3 IPS |
