Generic
Geekbench ML Score
7297
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | monopuerco |
| Upload Date | August 15 2024 05:44 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% |
2325
435.1 IPS |
|
|
Image Classification (F16)
|
100% |
2349
439.6 IPS |
|
|
Image Classification (I8)
|
100% |
1947
364.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
4930
82.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
4789
80.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
4001
66.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
60542
73.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
60529
73.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
46116
55.8 IPS |
|
|
Object Detection (F32)
|
100% |
2128
158.8 IPS |
|
|
Object Detection (F16)
|
100% |
2129
159.0 IPS |
|
|
Object Detection (I8)
|
61% |
1322
98.7 IPS |
|
|
Face Detection (F32)
|
100% |
5867
69.8 IPS |
|
|
Face Detection (F16)
|
100% |
5934
70.6 IPS |
|
|
Face Detection (I8)
|
89% |
5029
59.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
19625
152.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
20337
157.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
15678
121.6 IPS |
|
|
Style Transfer (F32)
|
100% |
109942
144.6 IPS |
|
|
Style Transfer (F16)
|
100% |
107418
141.3 IPS |
|
|
Style Transfer (I8)
|
98% |
79432
104.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18463
659.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18097
646.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11336
404.9 IPS |
|
|
Text Classification (F32)
|
100% |
1479
2.13 KIPS |
|
|
Text Classification (F16)
|
100% |
1490
2.14 KIPS |
|
|
Text Classification (I8)
|
98% |
900
1.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
2605
47.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2654
48.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1447
26.6 IPS |
