System manufacturer System Product Name
Geekbench AI Score
19064
Single Precision Score
21245
Half Precision Score
13914
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | KorTECK |
| Upload Date | November 25 2025 10:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X470-F GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8059
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
7708
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
6627
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13269
215.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10447
169.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10683
173.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
113768
132.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
176544
206.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
93976
110.1 IPS |
|
|
Object Detection (SP)
|
100% |
8793
697.4 IPS |
|
|
Object Detection (HP)
|
100% |
7962
631.5 IPS |
|
|
Object Detection (Q)
|
87% |
7387
593.3 IPS |
|
|
Face Detection (SP)
|
100% |
25358
301.3 IPS |
|
|
Face Detection (HP)
|
100% |
28067
333.5 IPS |
|
|
Face Detection (Q)
|
97% |
19597
233.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
43964
338.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
52485
404.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
32526
261.2 IPS |
|
|
Style Transfer (SP)
|
100% |
205589
264.3 IPS |
|
|
Style Transfer (HP)
|
100% |
259129
333.1 IPS |
|
|
Style Transfer (Q)
|
98% |
162754
209.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30166
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37697
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20087
743.8 IPS |
|
|
Text Classification (SP)
|
100% |
2038
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1314
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4207
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4470
77.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2022
37.9 IPS |
