ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
9586
Single Precision Score
10472
Half Precision Score
16332
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 08 2025 01:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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% |
6294
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
7079
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
10378
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8495
137.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4989
80.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10940
177.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14669
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14822
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
33311
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
5997
475.7 IPS |
|
|
Object Detection (HP)
|
100% |
7234
573.8 IPS |
|
|
Object Detection (Q)
|
88% |
11674
935.8 IPS |
|
|
Face Detection (SP)
|
100% |
16519
196.3 IPS |
|
|
Face Detection (HP)
|
100% |
21394
254.2 IPS |
|
|
Face Detection (Q)
|
100% |
31112
369.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14817
114.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18617
143.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
32905
255.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42357
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
42211
54.3 IPS |
|
|
Style Transfer (Q)
|
98% |
90703
117.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8723
322.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9226
340.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16977
628.7 IPS |
|
|
Text Classification (SP)
|
100% |
4315
5.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3458
4.62 KIPS |
|
|
Text Classification (Q)
|
92% |
5940
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3572
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7810
134.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3267
56.3 IPS |
