ASUS System Product Name
Geekbench AI Score
27235
Single Precision Score
41664
Half Precision Score
20633
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kilio-silver |
| Upload Date | October 04 2025 09:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| 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% |
10415
1.94 KIPS |
|
|
Image Classification (HP)
|
99% |
16428
3.06 KIPS |
|
|
Image Classification (Q)
|
100% |
9332
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20399
330.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
27264
442.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18116
294.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
147953
172.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
354240
413.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
126013
147.6 IPS |
|
|
Object Detection (SP)
|
100% |
13005
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
21281
1.69 KIPS |
|
|
Object Detection (Q)
|
85% |
11211
902.5 IPS |
|
|
Face Detection (SP)
|
100% |
35682
424.0 IPS |
|
|
Face Detection (HP)
|
100% |
53060
630.5 IPS |
|
|
Face Detection (Q)
|
97% |
29943
357.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
64023
493.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110322
850.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
50325
401.8 IPS |
|
|
Style Transfer (SP)
|
100% |
256982
330.4 IPS |
|
|
Style Transfer (HP)
|
100% |
575876
740.3 IPS |
|
|
Style Transfer (Q)
|
98% |
225182
290.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45868
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56435
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32750
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3618
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
4382
5.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2188
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5639
97.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5601
96.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2409
45.2 IPS |
