ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
35670
Single Precision Score
59844
Half Precision Score
27248
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 07:56 AM |
| Views | 2 |
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% |
13952
2.59 KIPS |
|
|
Image Classification (HP)
|
100% |
20779
3.86 KIPS |
|
|
Image Classification (Q)
|
100% |
12056
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27117
439.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
38199
619.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
24131
392.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
232457
271.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
685978
800.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
196439
230.1 IPS |
|
|
Object Detection (SP)
|
100% |
18013
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
27878
2.21 KIPS |
|
|
Object Detection (Q)
|
86% |
15666
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
54371
646.0 IPS |
|
|
Face Detection (HP)
|
100% |
79967
950.2 IPS |
|
|
Face Detection (Q)
|
97% |
44674
532.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
88587
682.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
163444
1.26 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66393
530.2 IPS |
|
|
Style Transfer (SP)
|
100% |
329965
424.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1103387
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
290348
374.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52417
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80816
2.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40320
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3676
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4891
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2359
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6874
118.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6809
117.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3077
57.7 IPS |
