Ryzen 9 5950X - AutoOC+DOCP - +200 MHz, -9 All Core CO; Gigabyte Geforce 5070 Ti OC Gaming - Stock ASUS System Product Name
Geekbench AI Score
32741
Single Precision Score
54891
Half Precision Score
25288
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BlueBoy3000 |
| Upload Date | January 07 2026 11:50 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PRO (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13090
2.43 KIPS |
|
|
Image Classification (HP)
|
100% |
18791
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
11645
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23949
388.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
33829
548.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21315
346.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
180793
211.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
706326
824.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
162661
190.5 IPS |
|
|
Object Detection (SP)
|
100% |
17668
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
27479
2.18 KIPS |
|
|
Object Detection (Q)
|
86% |
14733
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
51853
616.1 IPS |
|
|
Face Detection (HP)
|
100% |
72566
862.2 IPS |
|
|
Face Detection (Q)
|
97% |
42519
507.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
87680
675.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
150844
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66000
527.0 IPS |
|
|
Style Transfer (SP)
|
100% |
323447
415.8 IPS |
|
|
Style Transfer (HP)
|
100% |
998817
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
270223
348.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46976
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74832
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36952
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3829
5.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2167
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
6310
108.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6425
110.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2961
55.5 IPS |
