System manufacturer System Product Name
Geekbench AI Score
1957
Single Precision Score
794
Half Precision Score
2069
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 29 2024 01:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 2950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X399-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 2950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
263
48.9 IPS |
|
|
Image Classification (Q)
|
96% |
1940
362.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
1323
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6057
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4003
4.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
5517
6.52 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (Q)
|
58% |
1397
152.6 IPS |
|
|
Face Detection (SP)
|
100% |
3444
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (Q)
|
96% |
4244
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5593
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1343
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5236
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11341
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10391
13.4 IPS |
|
|
Style Transfer (Q)
|
87% |
11337
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1068
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1114
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1065
39.5 IPS |
|
|
Text Classification (SP)
|
100% |
519
692.1 IPS |
|
|
Text Classification (HP)
|
100% |
234
311.8 IPS |
|
|
Text Classification (Q)
|
97% |
254
339.7 IPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
68% |
1069
20.7 IPS |
