System manufacturer System Product Name
Geekbench AI Score
2142
Single Precision Score
581
Half Precision Score
2196
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | mvarney |
| Upload Date | August 23 2024 06:05 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X470-PRO |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1171
217.8 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (Q)
|
97% |
1940
362.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
159
2.58 IPS |
|
|
Image Segmentation (Q)
|
97% |
1400
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4096
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3180
3.71 IPS |
|
|
Pose Estimation (Q)
|
87% |
5397
6.37 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
86% |
1193
95.9 IPS |
|
|
Face Detection (SP)
|
100% |
2382
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
245
2.91 IPS |
|
|
Face Detection (Q)
|
96% |
3171
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4607
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
732
5.64 IPS |
|
|
Depth Estimation (Q)
|
76% |
4740
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10830
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7865
10.1 IPS |
|
|
Style Transfer (Q)
|
87% |
11226
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1436
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1668
61.8 IPS |
|
|
Text Classification (SP)
|
100% |
1139
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
477
636.6 IPS |
|
|
Text Classification (Q)
|
97% |
356
476.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (Q)
|
60% |
1493
33.3 IPS |
