System manufacturer System Product Name
Geekbench AI Score
3057
Single Precision Score
775
Half Precision Score
3729
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | steventroughtonsmith |
| Upload Date | August 16 2024 12:49 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2045
380.3 IPS |
|
|
Image Classification (HP)
|
100% |
150
28.0 IPS |
|
|
Image Classification (Q)
|
97% |
3744
698.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
2638
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5318
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4274
4.99 IPS |
|
|
Pose Estimation (Q)
|
87% |
10972
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.6 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (Q)
|
86% |
2118
170.3 IPS |
|
|
Face Detection (SP)
|
100% |
2286
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (Q)
|
96% |
3426
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6245
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
955
7.36 IPS |
|
|
Depth Estimation (Q)
|
76% |
5393
43.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12859
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9985
12.8 IPS |
|
|
Style Transfer (Q)
|
87% |
12454
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2494
92.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2041
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2967
109.9 IPS |
|
|
Text Classification (SP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
702
937.4 IPS |
|
|
Text Classification (Q)
|
97% |
1482
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2062
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2239
49.9 IPS |
