ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
5396
Single Precision Score
8365
Half Precision Score
13613
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 08 2025 02:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3587
667.1 IPS |
|
|
Image Classification (HP)
|
100% |
5729
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7969
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3580
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8039
130.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12825
207.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12048
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11273
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
36515
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
3300
261.8 IPS |
|
|
Object Detection (HP)
|
100% |
5074
402.5 IPS |
|
|
Object Detection (Q)
|
88% |
9370
750.8 IPS |
|
|
Face Detection (SP)
|
100% |
7343
87.3 IPS |
|
|
Face Detection (HP)
|
100% |
13865
164.7 IPS |
|
|
Face Detection (Q)
|
100% |
23302
276.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11975
92.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
20402
157.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
25480
198.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27720
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40356
51.9 IPS |
|
|
Style Transfer (Q)
|
98% |
84456
108.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4763
175.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7544
278.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14731
545.5 IPS |
|
|
Text Classification (SP)
|
71% |
1601
2.32 KIPS |
|
|
Text Classification (HP)
|
71% |
2335
3.38 KIPS |
|
|
Text Classification (Q)
|
92% |
2677
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2207
38.0 IPS |
|
|
Machine Translation (HP)
|
96% |
3170
54.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3162
54.5 IPS |
