ASUS System Product Name
Geekbench AI Score
24714
Single Precision Score
37149
Half Precision Score
14490
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | iPaf |
| Upload Date | November 09 2024 03:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790M-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9512
1.77 KIPS |
|
|
Image Classification (HP)
|
99% |
13359
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
6028
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16241
263.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22187
359.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11665
189.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
172701
201.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
363089
423.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
130492
152.8 IPS |
|
|
Object Detection (SP)
|
100% |
12299
975.5 IPS |
|
|
Object Detection (HP)
|
100% |
17598
1.40 KIPS |
|
|
Object Detection (Q)
|
89% |
7694
615.9 IPS |
|
|
Face Detection (SP)
|
100% |
31777
377.6 IPS |
|
|
Face Detection (HP)
|
100% |
43699
519.2 IPS |
|
|
Face Detection (Q)
|
97% |
20222
241.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
58870
453.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
103362
796.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
34521
278.2 IPS |
|
|
Style Transfer (SP)
|
100% |
269122
346.0 IPS |
|
|
Style Transfer (HP)
|
100% |
636714
818.5 IPS |
|
|
Style Transfer (Q)
|
98% |
194754
251.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39476
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54224
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21713
804.0 IPS |
|
|
Text Classification (SP)
|
100% |
3086
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4030
5.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1503
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4225
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4206
72.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1303
29.1 IPS |
