System76 Thelio
Geekbench AI Score
2443
Single Precision Score
1047
Half Precision Score
3667
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | elbonian |
| Upload Date | November 18 2025 12:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System76 Thelio |
| Motherboard | System76 Thelio |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1750
325.5 IPS |
|
|
Image Classification (HP)
|
100% |
403
74.9 IPS |
|
|
Image Classification (Q)
|
96% |
3315
619.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
4556
74.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6607
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3865
4.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
9916
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (Q)
|
58% |
2575
281.3 IPS |
|
|
Face Detection (SP)
|
100% |
3708
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (Q)
|
96% |
6540
78.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5532
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1604
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7942
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12926
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11082
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
13616
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1367
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1173
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1410
52.2 IPS |
|
|
Text Classification (SP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
407
543.0 IPS |
|
|
Text Classification (Q)
|
97% |
722
967.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (Q)
|
68% |
1584
30.6 IPS |
