Komplett KomplettPC
Geekbench ML Score
27671
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 28 2024 04:48 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Komplett KomplettPC |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11909
2.23 KIPS |
|
|
Image Classification (F16)
|
100% |
12150
2.27 KIPS |
|
|
Image Classification (I8)
|
100% |
11347
2.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
22006
367.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
20691
345.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
12219
204.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
244368
295.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
243928
295.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
214553
259.8 IPS |
|
|
Object Detection (F32)
|
100% |
8643
645.3 IPS |
|
|
Object Detection (F16)
|
100% |
8635
644.7 IPS |
|
|
Object Detection (I8)
|
56% |
8098
604.6 IPS |
|
|
Face Detection (F32)
|
100% |
43360
515.6 IPS |
|
|
Face Detection (F16)
|
100% |
43549
517.8 IPS |
|
|
Face Detection (I8)
|
89% |
39823
473.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
80736
626.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
71535
554.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
58237
451.6 IPS |
|
|
Style Transfer (F32)
|
100% |
358909
472.1 IPS |
|
|
Style Transfer (F16)
|
100% |
358097
471.0 IPS |
|
|
Style Transfer (I8)
|
98% |
317299
417.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
51888
1.85 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
51641
1.84 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
39426
1.41 KIPS |
|
|
Text Classification (F32)
|
100% |
3347
4.81 KIPS |
|
|
Text Classification (F16)
|
100% |
3361
4.83 KIPS |
|
|
Text Classification (I8)
|
98% |
2005
2.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
5789
106.5 IPS |
|
|
Machine Translation (F16)
|
100% |
5774
106.3 IPS |
|
|
Machine Translation (I8)
|
70% |
3143
57.8 IPS |
