Unknown
Geekbench ML Score
10021
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 03 2024 05:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Unknown |
| Motherboard | Intel Corporation DH67GD |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2600 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5254
983.2 IPS |
|
|
Image Classification (F16)
|
100% |
4893
915.7 IPS |
|
|
Image Classification (I8)
|
100% |
3796
710.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
6230
104.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
6250
104.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
5334
89.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
89051
107.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
89470
108.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
72235
87.5 IPS |
|
|
Object Detection (F32)
|
100% |
2649
197.7 IPS |
|
|
Object Detection (F16)
|
100% |
2588
193.2 IPS |
|
|
Object Detection (I8)
|
56% |
2387
178.2 IPS |
|
|
Face Detection (F32)
|
100% |
11802
140.3 IPS |
|
|
Face Detection (F16)
|
100% |
12563
149.4 IPS |
|
|
Face Detection (I8)
|
89% |
10256
121.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
32883
255.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
33686
261.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
25504
197.8 IPS |
|
|
Style Transfer (F32)
|
100% |
141443
186.1 IPS |
|
|
Style Transfer (F16)
|
100% |
138418
182.1 IPS |
|
|
Style Transfer (I8)
|
98% |
110562
145.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22769
813.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22856
816.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14675
524.1 IPS |
|
|
Text Classification (F32)
|
100% |
1615
2.32 KIPS |
|
|
Text Classification (F16)
|
100% |
1733
2.49 KIPS |
|
|
Text Classification (I8)
|
98% |
878
1.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
1718
31.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1740
32.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1072
19.7 IPS |
