Generic
Geekbench ML Score
7225
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | monopuerco |
| Upload Date | August 15 2024 05:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z370 Killer SLI/ac |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 3 |
| L1 Data Cache | 32.0 KB x 3 |
| L2 Cache | 256 KB x 3 |
| L3 Cache | 9.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2306
431.4 IPS |
|
|
Image Classification (F16)
|
100% |
2329
435.8 IPS |
|
|
Image Classification (I8)
|
100% |
1983
371.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
5134
85.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
5329
89.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
4431
74.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
69128
83.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
66328
80.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
51481
62.3 IPS |
|
|
Object Detection (F32)
|
100% |
1411
105.4 IPS |
|
|
Object Detection (F16)
|
100% |
2289
170.9 IPS |
|
|
Object Detection (I8)
|
61% |
2066
154.2 IPS |
|
|
Face Detection (F32)
|
100% |
5856
69.6 IPS |
|
|
Face Detection (F16)
|
100% |
6039
71.8 IPS |
|
|
Face Detection (I8)
|
89% |
4958
59.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
20228
156.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
20360
157.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
15722
121.9 IPS |
|
|
Style Transfer (F32)
|
100% |
106876
140.6 IPS |
|
|
Style Transfer (F16)
|
100% |
100975
132.8 IPS |
|
|
Style Transfer (I8)
|
98% |
69635
91.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16775
599.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16812
600.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9863
352.2 IPS |
|
|
Text Classification (F32)
|
100% |
1284
1.85 KIPS |
|
|
Text Classification (F16)
|
100% |
1175
1.69 KIPS |
|
|
Text Classification (I8)
|
98% |
808
1.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
2609
48.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2601
47.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1461
26.9 IPS |
