HUANANZHI
Geekbench ML Score
2758
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 10:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | HUANANZHI |
| Motherboard | HUANANZHI X99-BD4 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2699 v3 |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 18 Cores |
| L1 Instruction Cache | 32.0 KB x 18 |
| L1 Data Cache | 32.0 KB x 18 |
| L2 Cache | 256 KB x 18 |
| L3 Cache | 45.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1612
301.6 IPS |
|
|
Image Classification (F16)
|
100% |
1616
302.5 IPS |
|
|
Image Classification (I8)
|
97% |
1836
343.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1363
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1351
22.6 IPS |
|
|
Image Segmentation (I8)
|
97% |
1525
25.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
9856
11.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
9784
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
10143
12.3 IPS |
|
|
Object Detection (F32)
|
100% |
1449
108.2 IPS |
|
|
Object Detection (F16)
|
100% |
1448
108.1 IPS |
|
|
Object Detection (I8)
|
60% |
1025
76.5 IPS |
|
|
Face Detection (F32)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (F16)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (I8)
|
87% |
2702
32.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7965
61.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
7894
61.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
8105
62.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18896
24.9 IPS |
|
|
Style Transfer (F16)
|
100% |
18996
25.0 IPS |
|
|
Style Transfer (I8)
|
85% |
12667
16.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2693
96.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2680
95.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2238
79.9 IPS |
|
|
Text Classification (F32)
|
100% |
925
1.33 KIPS |
|
|
Text Classification (F16)
|
100% |
925
1.33 KIPS |
|
|
Text Classification (I8)
|
94% |
253
363.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1368
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1365
25.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1500
27.6 IPS |
