ASUSTeK COMPUTER INC. ROG G700TF
Geekbench AI Score
35317
Single Precision Score
59038
Half Precision Score
27044
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 05:37 AM |
| Views | 15 |
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% |
13754
2.56 KIPS |
|
|
Image Classification (HP)
|
100% |
20529
3.82 KIPS |
|
|
Image Classification (Q)
|
100% |
12008
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26621
431.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
37818
613.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
24017
390.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
226193
263.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
682885
796.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
189967
222.5 IPS |
|
|
Object Detection (SP)
|
100% |
18397
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
27849
2.21 KIPS |
|
|
Object Detection (Q)
|
86% |
15912
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
54092
642.7 IPS |
|
|
Face Detection (HP)
|
100% |
79655
946.5 IPS |
|
|
Face Detection (Q)
|
97% |
44725
533.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
88723
683.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
158952
1.22 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65874
526.0 IPS |
|
|
Style Transfer (SP)
|
100% |
325909
419.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1070586
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
288992
372.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52087
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80485
2.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40173
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3616
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4772
6.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2336
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6727
115.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6693
115.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3005
56.4 IPS |
