Workstation II INTEL X99
Geekbench ML Score
6601
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | July 16 2024 01:27 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2696 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 | DirectML |
| Device | AMD Radeon RX 6600 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3485
652.2 IPS |
|
|
Image Classification (F16)
|
100% |
3443
644.2 IPS |
|
|
Image Classification (I8)
|
100% |
3544
663.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
4629
77.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
4273
71.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
4500
75.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
69771
84.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
75840
91.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
63663
77.1 IPS |
|
|
Object Detection (F32)
|
100% |
1541
115.1 IPS |
|
|
Object Detection (F16)
|
100% |
1570
117.2 IPS |
|
|
Object Detection (I8)
|
62% |
1406
105.0 IPS |
|
|
Face Detection (F32)
|
100% |
8725
103.7 IPS |
|
|
Face Detection (F16)
|
100% |
10671
126.9 IPS |
|
|
Face Detection (I8)
|
89% |
9668
115.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
19981
155.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
19977
154.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
15676
121.6 IPS |
|
|
Style Transfer (F32)
|
100% |
81640
107.4 IPS |
|
|
Style Transfer (F16)
|
100% |
77932
102.5 IPS |
|
|
Style Transfer (I8)
|
98% |
72930
95.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7451
266.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8083
288.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7009
250.3 IPS |
|
|
Text Classification (F32)
|
100% |
764
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
744
1.07 KIPS |
|
|
Text Classification (I8)
|
98% |
790
1.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
1290
23.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1291
23.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1085
20.0 IPS |
