System manufacturer System Product Name
Geekbench ML Score
15704
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 01 2024 09:08 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG RAMPAGE VI EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 18 Cores |
| L1 Instruction Cache | 32.0 KB x 18 |
| L1 Data Cache | 32.0 KB x 18 |
| L2 Cache | 1.00 MB x 18 |
| L3 Cache | 24.8 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7551
1.41 KIPS |
|
|
Image Classification (F16)
|
100% |
8327
1.56 KIPS |
|
|
Image Classification (I8)
|
100% |
5575
1.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10825
180.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
10775
179.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
8251
137.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
152990
185.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
152936
185.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
113749
137.7 IPS |
|
|
Object Detection (F32)
|
100% |
4637
346.2 IPS |
|
|
Object Detection (F16)
|
100% |
4525
337.8 IPS |
|
|
Object Detection (I8)
|
56% |
3796
283.4 IPS |
|
|
Face Detection (F32)
|
100% |
24017
285.6 IPS |
|
|
Face Detection (F16)
|
100% |
25182
299.4 IPS |
|
|
Face Detection (I8)
|
89% |
17101
203.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
49798
386.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
49709
385.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
33275
258.0 IPS |
|
|
Style Transfer (F32)
|
100% |
259492
341.3 IPS |
|
|
Style Transfer (F16)
|
100% |
229333
301.7 IPS |
|
|
Style Transfer (I8)
|
98% |
161892
213.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32522
1.16 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32005
1.14 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18954
676.9 IPS |
|
|
Text Classification (F32)
|
100% |
2303
3.31 KIPS |
|
|
Text Classification (F16)
|
100% |
2244
3.23 KIPS |
|
|
Text Classification (I8)
|
98% |
1086
1.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
3082
56.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3067
56.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1238
22.8 IPS |
