To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
14846
Single Precision Score
18812
Half Precision Score
10310
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | afanasjev |
| Upload Date | September 12 2024 05:41 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | HUANANZHI X79 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v2 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5541
1.03 KIPS |
|
|
Image Classification (HP)
|
99% |
6617
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
4234
787.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6053
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6794
110.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5296
86.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
149844
174.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
252547
294.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
116486
136.4 IPS |
|
|
Object Detection (SP)
|
100% |
7750
614.8 IPS |
|
|
Object Detection (HP)
|
100% |
9441
748.8 IPS |
|
|
Object Detection (Q)
|
92% |
5474
437.2 IPS |
|
|
Face Detection (SP)
|
100% |
15244
181.1 IPS |
|
|
Face Detection (HP)
|
100% |
17301
205.6 IPS |
|
|
Face Detection (Q)
|
97% |
11922
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
48883
376.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
74427
573.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
30466
245.5 IPS |
|
|
Style Transfer (SP)
|
100% |
237224
305.0 IPS |
|
|
Style Transfer (HP)
|
100% |
435339
559.6 IPS |
|
|
Style Transfer (Q)
|
98% |
175780
226.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29297
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35717
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17281
639.9 IPS |
|
|
Text Classification (SP)
|
100% |
1685
2.25 KIPS |
|
|
Text Classification (HP)
|
99% |
1684
2.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1083
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1531
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (Q)
|
60% |
795
17.7 IPS |
