System manufacturer System Product Name
Geekbench AI Score
14826
Single Precision Score
22200
Half Precision Score
9780
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | porina |
| Upload Date | August 16 2024 10:50 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF X299 MARK 2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5756
1.07 KIPS |
|
|
Image Classification (HP)
|
99% |
8384
1.56 KIPS |
|
|
Image Classification (Q)
|
100% |
3907
726.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8396
136.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11049
179.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7085
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
95036
110.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
249208
290.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
80075
93.8 IPS |
|
|
Object Detection (SP)
|
100% |
7117
564.5 IPS |
|
|
Object Detection (HP)
|
100% |
9803
777.6 IPS |
|
|
Object Detection (Q)
|
88% |
5413
434.1 IPS |
|
|
Face Detection (SP)
|
100% |
15664
186.1 IPS |
|
|
Face Detection (HP)
|
100% |
21627
257.0 IPS |
|
|
Face Detection (Q)
|
97% |
12279
146.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
39254
302.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
66470
512.1 IPS |
|
|
Depth Estimation (Q)
|
69% |
25067
212.4 IPS |
|
|
Style Transfer (SP)
|
100% |
163401
210.1 IPS |
|
|
Style Transfer (HP)
|
100% |
362046
465.4 IPS |
|
|
Style Transfer (Q)
|
98% |
129183
166.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26307
971.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35282
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14564
539.3 IPS |
|
|
Text Classification (SP)
|
100% |
2549
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
2944
3.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1165
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2331
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2377
40.9 IPS |
|
|
Machine Translation (Q)
|
60% |
989
22.1 IPS |
