ASUS System Product Name
Geekbench AI Score
25771
Single Precision Score
38646
Half Precision Score
19960
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 12:28 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. TUF GAMING B550M-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9472
1.76 KIPS |
|
|
Image Classification (HP)
|
99% |
13972
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
8359
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20072
325.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
27306
442.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17907
291.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
157080
183.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
390595
455.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
140266
164.3 IPS |
|
|
Object Detection (SP)
|
100% |
12655
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
18972
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
10684
859.4 IPS |
|
|
Face Detection (SP)
|
100% |
37397
444.4 IPS |
|
|
Face Detection (HP)
|
100% |
50822
603.9 IPS |
|
|
Face Detection (Q)
|
97% |
31956
381.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
61470
473.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101818
786.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
47914
383.1 IPS |
|
|
Style Transfer (SP)
|
100% |
268596
345.3 IPS |
|
|
Style Transfer (HP)
|
100% |
624572
802.9 IPS |
|
|
Style Transfer (Q)
|
98% |
237644
306.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39711
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51038
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29257
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2642
3.53 KIPS |
|
|
Text Classification (HP)
|
99% |
3172
4.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1717
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5279
90.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5024
86.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2448
45.9 IPS |
