ASUS System Product Name
Geekbench AI Score
24397
Single Precision Score
36862
Half Precision Score
14774
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | edbond |
| Upload Date | April 21 2025 02:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-A WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9774
1.82 KIPS |
|
|
Image Classification (HP)
|
99% |
13709
2.56 KIPS |
|
|
Image Classification (Q)
|
100% |
6508
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16206
262.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22723
368.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11612
188.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
142381
166.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
364334
425.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
111195
130.3 IPS |
|
|
Object Detection (SP)
|
100% |
12188
966.8 IPS |
|
|
Object Detection (HP)
|
100% |
17503
1.39 KIPS |
|
|
Object Detection (Q)
|
85% |
8223
661.5 IPS |
|
|
Face Detection (SP)
|
100% |
33357
396.4 IPS |
|
|
Face Detection (HP)
|
100% |
46252
549.6 IPS |
|
|
Face Detection (Q)
|
97% |
22551
268.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
62444
481.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
103415
796.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
36681
293.9 IPS |
|
|
Style Transfer (SP)
|
100% |
255406
328.3 IPS |
|
|
Style Transfer (HP)
|
100% |
585763
753.0 IPS |
|
|
Style Transfer (Q)
|
98% |
183884
237.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37800
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46625
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20474
758.1 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3802
5.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1475
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4514
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4696
80.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1561
29.3 IPS |
