System manufacturer System Product Name
Geekbench ML Score
15009
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2025 05:03 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7470
1.40 KIPS |
|
|
Image Classification (F16)
|
100% |
7671
1.44 KIPS |
|
|
Image Classification (I8)
|
100% |
6761
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9017
150.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
9046
151.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
8463
141.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
103777
125.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
104482
126.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
90507
109.6 IPS |
|
|
Object Detection (F32)
|
100% |
5149
384.4 IPS |
|
|
Object Detection (F16)
|
100% |
5072
378.6 IPS |
|
|
Object Detection (I8)
|
63% |
4720
352.4 IPS |
|
|
Face Detection (F32)
|
100% |
18162
216.0 IPS |
|
|
Face Detection (F16)
|
100% |
18588
221.0 IPS |
|
|
Face Detection (I8)
|
89% |
15944
189.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
45830
355.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
47302
366.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
40992
317.9 IPS |
|
|
Style Transfer (F32)
|
100% |
175612
231.0 IPS |
|
|
Style Transfer (F16)
|
100% |
175462
230.8 IPS |
|
|
Style Transfer (I8)
|
98% |
157317
206.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29478
1.05 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
29368
1.05 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
22746
812.3 IPS |
|
|
Text Classification (F32)
|
100% |
2461
3.54 KIPS |
|
|
Text Classification (F16)
|
100% |
2481
3.57 KIPS |
|
|
Text Classification (I8)
|
98% |
1655
2.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
2719
50.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2719
50.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1771
32.6 IPS |
