System manufacturer System Product Name
Geekbench ML Score
8873
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 18 2025 10:05 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4945
925.4 IPS |
|
|
Image Classification (F16)
|
100% |
4943
924.9 IPS |
|
|
Image Classification (I8)
|
100% |
3743
700.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
6215
103.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
6244
104.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
5127
85.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
46158
55.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
59599
72.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
38877
47.1 IPS |
|
|
Object Detection (F32)
|
100% |
3344
249.6 IPS |
|
|
Object Detection (F16)
|
100% |
3505
261.7 IPS |
|
|
Object Detection (I8)
|
61% |
2801
209.1 IPS |
|
|
Face Detection (F32)
|
100% |
12415
147.6 IPS |
|
|
Face Detection (F16)
|
100% |
12403
147.5 IPS |
|
|
Face Detection (I8)
|
89% |
9649
114.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
24505
190.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
24731
191.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
21782
168.9 IPS |
|
|
Style Transfer (F32)
|
100% |
84803
111.6 IPS |
|
|
Style Transfer (F16)
|
100% |
84505
111.2 IPS |
|
|
Style Transfer (I8)
|
98% |
69616
91.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14917
532.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14828
529.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9309
332.4 IPS |
|
|
Text Classification (F32)
|
100% |
1381
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1665
2.39 KIPS |
|
|
Text Classification (I8)
|
98% |
1023
1.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
2606
48.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2600
47.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1353
24.9 IPS |
