System manufacturer System Product Name
Geekbench AI Score
14788
Single Precision Score
16860
Half Precision Score
11160
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 07:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 5700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-F GAMING |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6216
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6440
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
5313
988.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7840
127.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7797
126.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6798
110.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
89592
104.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
135008
157.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
75795
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
6567
520.9 IPS |
|
|
Object Detection (HP)
|
100% |
6326
501.8 IPS |
|
|
Object Detection (Q)
|
88% |
5745
460.6 IPS |
|
|
Face Detection (SP)
|
100% |
18994
225.7 IPS |
|
|
Face Detection (HP)
|
100% |
20101
238.8 IPS |
|
|
Face Detection (Q)
|
97% |
15916
189.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
36681
282.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
41977
324.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
28627
228.9 IPS |
|
|
Style Transfer (SP)
|
100% |
151665
195.0 IPS |
|
|
Style Transfer (HP)
|
100% |
225573
290.0 IPS |
|
|
Style Transfer (Q)
|
98% |
123375
159.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25696
948.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30659
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17566
650.5 IPS |
|
|
Text Classification (SP)
|
100% |
1625
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1965
2.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1071
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3955
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1803
33.8 IPS |
