ASUS System Product Name
Geekbench AI Score
28913
Single Precision Score
45685
Half Precision Score
21722
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Reupen |
| Upload Date | July 03 2025 02:23 PM |
| Views | 2 |
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-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10360
1.93 KIPS |
|
|
Image Classification (HP)
|
99% |
18380
3.43 KIPS |
|
|
Image Classification (Q)
|
100% |
10282
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21948
355.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
28433
460.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19289
313.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
182198
212.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
412124
480.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
151309
177.3 IPS |
|
|
Object Detection (SP)
|
100% |
14002
1.11 KIPS |
|
|
Object Detection (HP)
|
100% |
22864
1.81 KIPS |
|
|
Object Detection (Q)
|
85% |
11328
911.3 IPS |
|
|
Face Detection (SP)
|
100% |
38877
461.9 IPS |
|
|
Face Detection (HP)
|
100% |
57346
681.4 IPS |
|
|
Face Detection (Q)
|
97% |
31496
375.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
63469
489.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
115177
889.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
51372
410.7 IPS |
|
|
Style Transfer (SP)
|
100% |
315475
405.5 IPS |
|
|
Style Transfer (HP)
|
100% |
748447
962.1 IPS |
|
|
Style Transfer (Q)
|
98% |
266655
343.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51432
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66261
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37492
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
3654
4.88 KIPS |
|
|
Text Classification (HP)
|
99% |
4743
6.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2108
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4811
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5177
89.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2018
37.9 IPS |
