System manufacturer System Product Name
Geekbench ML Score
10655
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Bishop_Swift |
| Upload Date | August 16 2024 08:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z370-A II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6070
1.14 KIPS |
|
|
Image Classification (F16)
|
100% |
6130
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
1611
301.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
8442
141.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
8510
142.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2034
34.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
84805
102.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
84427
102.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
78951
95.6 IPS |
|
|
Object Detection (F32)
|
100% |
3946
294.6 IPS |
|
|
Object Detection (F16)
|
100% |
3950
294.9 IPS |
|
|
Object Detection (I8)
|
63% |
3075
229.6 IPS |
|
|
Face Detection (F32)
|
100% |
16928
201.3 IPS |
|
|
Face Detection (F16)
|
100% |
17170
204.2 IPS |
|
|
Face Detection (I8)
|
89% |
3035
36.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
34144
264.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
38152
295.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
12814
99.4 IPS |
|
|
Style Transfer (F32)
|
100% |
143910
189.3 IPS |
|
|
Style Transfer (F16)
|
100% |
131036
172.4 IPS |
|
|
Style Transfer (I8)
|
98% |
139711
183.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24571
877.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24310
868.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19354
691.2 IPS |
|
|
Text Classification (F32)
|
100% |
2006
2.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1858
2.67 KIPS |
|
|
Text Classification (I8)
|
98% |
1179
1.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
2725
50.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2763
50.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1908
35.1 IPS |
