System manufacturer System Product Name
Geekbench AI Score
14913
Single Precision Score
21934
Half Precision Score
9749
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | porina |
| Upload Date | August 16 2024 01:28 PM |
| Views | 12 |
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% |
5874
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
7889
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
3871
719.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8362
135.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10594
171.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7179
116.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
95457
111.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
255085
297.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
79571
93.2 IPS |
|
|
Object Detection (SP)
|
100% |
7016
556.5 IPS |
|
|
Object Detection (HP)
|
100% |
9886
784.1 IPS |
|
|
Object Detection (Q)
|
88% |
5345
428.7 IPS |
|
|
Face Detection (SP)
|
100% |
15534
184.6 IPS |
|
|
Face Detection (HP)
|
100% |
21581
256.4 IPS |
|
|
Face Detection (Q)
|
97% |
12253
146.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
39131
301.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
67262
518.2 IPS |
|
|
Depth Estimation (Q)
|
69% |
25107
212.7 IPS |
|
|
Style Transfer (SP)
|
100% |
165368
212.6 IPS |
|
|
Style Transfer (HP)
|
100% |
362973
466.6 IPS |
|
|
Style Transfer (Q)
|
98% |
127160
164.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28425
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
34565
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14678
543.5 IPS |
|
|
Text Classification (SP)
|
100% |
2505
3.34 KIPS |
|
|
Text Classification (HP)
|
99% |
2902
3.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1161
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2314
39.9 IPS |
|
|
Machine Translation (Q)
|
60% |
985
22.0 IPS |
