ASUS System Product Name
Geekbench AI Score
32480
Single Precision Score
51151
Half Precision Score
24979
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | UGRonOSRS |
| Upload Date | March 03 2025 01:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760-PLUS |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13237
2.46 KIPS |
|
|
Image Classification (HP)
|
100% |
18405
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
11383
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20506
332.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
25995
421.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18934
307.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
227023
264.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
654489
763.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
195286
228.7 IPS |
|
|
Object Detection (SP)
|
100% |
16850
1.34 KIPS |
|
|
Object Detection (HP)
|
100% |
23644
1.88 KIPS |
|
|
Object Detection (Q)
|
86% |
14530
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
43654
518.7 IPS |
|
|
Face Detection (HP)
|
100% |
57081
678.2 IPS |
|
|
Face Detection (Q)
|
97% |
36491
435.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
89613
690.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
162235
1.25 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65374
522.0 IPS |
|
|
Style Transfer (SP)
|
100% |
336681
432.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1041503
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
292111
376.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53476
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78307
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39896
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3620
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4453
5.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2254
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4936
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4925
84.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2468
46.3 IPS |
