ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
9592
Single Precision Score
10395
Half Precision Score
16809
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 14 2025 01:14 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% |
6177
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
7106
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
10527
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8336
135.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4963
80.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13478
218.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14640
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14548
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
33471
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
5915
469.2 IPS |
|
|
Object Detection (HP)
|
100% |
7548
598.7 IPS |
|
|
Object Detection (Q)
|
88% |
11500
921.9 IPS |
|
|
Face Detection (SP)
|
100% |
16574
196.9 IPS |
|
|
Face Detection (HP)
|
100% |
21175
251.6 IPS |
|
|
Face Detection (Q)
|
100% |
30839
366.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14842
114.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18127
139.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
32950
256.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42192
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41357
53.2 IPS |
|
|
Style Transfer (Q)
|
98% |
94429
121.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8857
327.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9235
341.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16195
599.8 IPS |
|
|
Text Classification (SP)
|
100% |
4248
5.67 KIPS |
|
|
Text Classification (HP)
|
100% |
3339
4.46 KIPS |
|
|
Text Classification (Q)
|
92% |
5916
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3788
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7776
133.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3588
61.8 IPS |
