To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
1872
Single Precision Score
467
Half Precision Score
3351
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| Upload Date | April 06 2025 01:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3990X |
| System Information | |
|---|---|
| Operating System | openSUSE Leap 15.6 |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRockRack TRX40D8-2N2T |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3990X |
| Topology | 1 Processor, 64 Cores, 128 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 4.45 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
637
118.5 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (Q)
|
93% |
2244
419.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
1650
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12472
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
3689
4.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
19109
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
881
69.9 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
58% |
2066
225.8 IPS |
|
|
Face Detection (SP)
|
100% |
1824
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
216
2.56 IPS |
|
|
Face Detection (Q)
|
96% |
5718
68.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3799
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
574
4.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
6779
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19307
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9160
11.8 IPS |
|
|
Style Transfer (Q)
|
87% |
12939
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1388
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1199
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1460
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
944
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
271
362.1 IPS |
|
|
Text Classification (Q)
|
97% |
730
978.1 IPS |
|
|
Machine Translation (SP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
165
2.84 IPS |
|
|
Machine Translation (Q)
|
68% |
2289
44.2 IPS |
