System manufacturer System Product Name
Geekbench AI Score
23475
Single Precision Score
26136
Half Precision Score
17706
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 10:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X570-P |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10087
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
9949
1.85 KIPS |
|
|
Image Classification (Q)
|
99% |
8336
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17839
289.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13722
222.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13970
227.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
130293
152.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
204552
238.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
110684
129.7 IPS |
|
|
Object Detection (SP)
|
100% |
10856
861.1 IPS |
|
|
Object Detection (HP)
|
100% |
11284
895.0 IPS |
|
|
Object Detection (Q)
|
87% |
9091
730.1 IPS |
|
|
Face Detection (SP)
|
100% |
33744
401.0 IPS |
|
|
Face Detection (HP)
|
100% |
35864
426.1 IPS |
|
|
Face Detection (Q)
|
97% |
26141
311.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
55116
424.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
60511
466.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
41923
336.6 IPS |
|
|
Style Transfer (SP)
|
100% |
257551
331.1 IPS |
|
|
Style Transfer (HP)
|
100% |
348754
448.3 IPS |
|
|
Style Transfer (Q)
|
98% |
204695
263.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34815
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41323
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24887
921.5 IPS |
|
|
Text Classification (SP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2774
3.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1602
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5501
94.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5441
93.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2890
54.2 IPS |
