ASUS System Product Name
Geekbench AI Score
30931
Single Precision Score
46752
Half Precision Score
23797
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sfuller67 |
| Upload Date | May 07 2025 04:08 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-H GAMING WIFI |
| Power Plan | Balanced |
| 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% |
12163
2.26 KIPS |
|
|
Image Classification (HP)
|
99% |
17947
3.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10617
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20867
338.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
29305
475.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20023
325.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
187310
218.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
464195
541.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
167639
196.4 IPS |
|
|
Object Detection (SP)
|
100% |
15049
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
21888
1.74 KIPS |
|
|
Object Detection (Q)
|
85% |
12605
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
43238
513.8 IPS |
|
|
Face Detection (HP)
|
100% |
58356
693.4 IPS |
|
|
Face Detection (Q)
|
97% |
36635
436.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
73215
564.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
122507
946.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
56364
450.6 IPS |
|
|
Style Transfer (SP)
|
100% |
317715
408.4 IPS |
|
|
Style Transfer (HP)
|
100% |
748203
961.8 IPS |
|
|
Style Transfer (Q)
|
98% |
277625
358.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50608
1.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64023
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36389
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
4619
6.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2299
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5957
102.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5903
101.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2704
50.7 IPS |
