ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
35123
Single Precision Score
58724
Half Precision Score
27009
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:06 AM |
| Views | 5 |
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% |
13458
2.50 KIPS |
|
|
Image Classification (HP)
|
100% |
20508
3.81 KIPS |
|
|
Image Classification (Q)
|
100% |
12069
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26812
434.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
37584
609.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
24095
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
232284
271.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
673647
786.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
196575
230.3 IPS |
|
|
Object Detection (SP)
|
100% |
18128
1.44 KIPS |
|
|
Object Detection (HP)
|
100% |
26702
2.12 KIPS |
|
|
Object Detection (Q)
|
86% |
15678
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
53579
636.6 IPS |
|
|
Face Detection (HP)
|
100% |
78512
932.9 IPS |
|
|
Face Detection (Q)
|
97% |
44574
531.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
88029
678.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
166677
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66061
527.5 IPS |
|
|
Style Transfer (SP)
|
100% |
330406
424.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1079276
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
289331
373.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51584
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79120
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40139
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3525
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4716
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2231
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6636
114.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6675
115.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3022
56.7 IPS |
