To be filled by O.E.M. To be filled by O.E.M.
Geekbench ML Score
7557
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | August 17 2024 05:29 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | INTEL X79F |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v2 |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 12 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 | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon VII |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3423
640.6 IPS |
|
|
Image Classification (F16)
|
100% |
3507
656.2 IPS |
|
|
Image Classification (I8)
|
99% |
2910
544.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
3906
65.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3889
65.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3451
57.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
72711
88.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
76558
92.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
59119
71.6 IPS |
|
|
Object Detection (F32)
|
100% |
2253
168.2 IPS |
|
|
Object Detection (F16)
|
100% |
2247
167.7 IPS |
|
|
Object Detection (I8)
|
61% |
2076
155.0 IPS |
|
|
Face Detection (F32)
|
100% |
9426
112.1 IPS |
|
|
Face Detection (F16)
|
100% |
9475
112.7 IPS |
|
|
Face Detection (I8)
|
88% |
7569
90.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
24609
190.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
24857
192.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
19226
149.1 IPS |
|
|
Style Transfer (F32)
|
100% |
137290
180.6 IPS |
|
|
Style Transfer (F16)
|
100% |
136394
179.4 IPS |
|
|
Style Transfer (I8)
|
98% |
110447
145.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15896
567.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16189
578.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11562
412.9 IPS |
|
|
Text Classification (F32)
|
100% |
1087
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1002
1.44 KIPS |
|
|
Text Classification (I8)
|
98% |
671
963.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1149
21.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1148
21.1 IPS |
|
|
Machine Translation (I8)
|
69% |
752
13.8 IPS |
