System manufacturer System Product Name
Geekbench ML Score
22572
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 01 2025 09:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B350-PLUS |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11228
2.10 KIPS |
|
|
Image Classification (F16)
|
100% |
12139
2.27 KIPS |
|
|
Image Classification (I8)
|
100% |
10745
2.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11925
199.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
14874
248.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
14440
241.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
183399
222.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
186296
225.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
168546
204.1 IPS |
|
|
Object Detection (F32)
|
100% |
5702
425.7 IPS |
|
|
Object Detection (F16)
|
100% |
5793
432.5 IPS |
|
|
Object Detection (I8)
|
56% |
5519
412.0 IPS |
|
|
Face Detection (F32)
|
100% |
32876
390.9 IPS |
|
|
Face Detection (F16)
|
100% |
36826
437.9 IPS |
|
|
Face Detection (I8)
|
89% |
32015
380.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
67840
526.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
69003
535.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
59321
460.0 IPS |
|
|
Style Transfer (F32)
|
100% |
280778
369.3 IPS |
|
|
Style Transfer (F16)
|
100% |
320330
421.4 IPS |
|
|
Style Transfer (I8)
|
98% |
269823
354.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32493
1.16 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
30370
1.08 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
23641
844.3 IPS |
|
|
Text Classification (F32)
|
100% |
3015
4.33 KIPS |
|
|
Text Classification (F16)
|
100% |
3584
5.15 KIPS |
|
|
Text Classification (I8)
|
98% |
2386
3.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
4440
81.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4700
86.5 IPS |
|
|
Machine Translation (I8)
|
70% |
3137
57.7 IPS |
