System manufacturer System Product Name
Geekbench AI Score
3990
Single Precision Score
1673
Half Precision Score
4075
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 04:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1842
342.5 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (Q)
|
96% |
3633
678.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2242
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2763
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12538
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8750
10.2 IPS |
|
|
Pose Estimation (Q)
|
87% |
22839
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (HP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (Q)
|
86% |
2098
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3461
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
1541
18.3 IPS |
|
|
Face Detection (Q)
|
96% |
4548
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9430
72.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2553
19.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
8550
68.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26344
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22349
28.7 IPS |
|
|
Style Transfer (Q)
|
87% |
23005
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2694
99.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2066
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3256
120.6 IPS |
|
|
Text Classification (SP)
|
100% |
1533
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
575
767.7 IPS |
|
|
Text Classification (Q)
|
97% |
394
527.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2322
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2288
51.0 IPS |
