System manufacturer System Product Name
Geekbench AI Score
15254
Single Precision Score
22968
Half Precision Score
9950
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | porina |
| Upload Date | August 16 2024 01:36 PM |
| 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% |
6466
1.20 KIPS |
|
|
Image Classification (HP)
|
99% |
8321
1.55 KIPS |
|
|
Image Classification (Q)
|
100% |
3999
743.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8379
135.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10967
177.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7146
116.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
94852
110.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
260990
304.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
78151
91.5 IPS |
|
|
Object Detection (SP)
|
100% |
7469
592.5 IPS |
|
|
Object Detection (HP)
|
100% |
10482
831.4 IPS |
|
|
Object Detection (Q)
|
88% |
5440
436.3 IPS |
|
|
Face Detection (SP)
|
100% |
15740
187.0 IPS |
|
|
Face Detection (HP)
|
100% |
22023
261.7 IPS |
|
|
Face Detection (Q)
|
97% |
12347
147.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
39568
304.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
69616
536.4 IPS |
|
|
Depth Estimation (Q)
|
69% |
25766
218.3 IPS |
|
|
Style Transfer (SP)
|
100% |
161776
208.0 IPS |
|
|
Style Transfer (HP)
|
100% |
379259
487.5 IPS |
|
|
Style Transfer (Q)
|
98% |
128487
165.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29325
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38356
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15456
572.3 IPS |
|
|
Text Classification (SP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3025
4.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1246
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2376
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2426
41.8 IPS |
|
|
Machine Translation (Q)
|
60% |
995
22.2 IPS |
