ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
35544
Single Precision Score
59009
Half Precision Score
26858
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 05:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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% |
13834
2.57 KIPS |
|
|
Image Classification (HP)
|
100% |
20753
3.86 KIPS |
|
|
Image Classification (Q)
|
100% |
12056
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26743
433.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
37891
614.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
24079
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
226336
264.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
691357
806.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
188061
220.3 IPS |
|
|
Object Detection (SP)
|
100% |
18364
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
27890
2.21 KIPS |
|
|
Object Detection (Q)
|
86% |
15792
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
54083
642.6 IPS |
|
|
Face Detection (HP)
|
100% |
80040
951.1 IPS |
|
|
Face Detection (Q)
|
97% |
44549
531.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
88764
683.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
163454
1.26 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66037
527.3 IPS |
|
|
Style Transfer (SP)
|
100% |
335092
430.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1073704
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
287842
371.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52203
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79699
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39516
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3750
5.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4503
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2312
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6647
114.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6697
115.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2929
54.9 IPS |
