ASUSTeK COMPUTER INC. ROG Flow X13 GV301QC_GV301QC
Geekbench AI Score
14639
Single Precision Score
23375
Half Precision Score
10235
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | aapivone |
| Upload Date | January 04 2025 12:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow X13 GV301QC_GV301QC |
| Motherboard | ASUSTeK COMPUTER INC. GV301QC |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5980HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6512
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
10004
1.87 KIPS |
|
|
Image Classification (Q)
|
100% |
4913
913.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8068
130.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10448
169.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6731
109.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
82007
95.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
232247
271.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
68130
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
7552
599.0 IPS |
|
|
Object Detection (HP)
|
100% |
11779
934.3 IPS |
|
|
Object Detection (Q)
|
85% |
5779
465.2 IPS |
|
|
Face Detection (SP)
|
100% |
16572
196.9 IPS |
|
|
Face Detection (HP)
|
100% |
22608
268.6 IPS |
|
|
Face Detection (Q)
|
97% |
13366
159.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38167
294.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
72063
555.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
26175
209.5 IPS |
|
|
Style Transfer (SP)
|
100% |
129185
166.1 IPS |
|
|
Style Transfer (HP)
|
100% |
334749
430.3 IPS |
|
|
Style Transfer (Q)
|
98% |
107832
139.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26253
969.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36036
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15668
580.2 IPS |
|
|
Text Classification (SP)
|
100% |
2693
3.59 KIPS |
|
|
Text Classification (HP)
|
99% |
3397
4.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1388
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2406
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2552
44.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1181
22.1 IPS |
