System76 Thelio
Geekbench AI Score
3925
Single Precision Score
3907
Half Precision Score
5168
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | elbonian |
| Upload Date | November 18 2025 01:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X 16-Core Processor |
| 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% |
2054
382.1 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.6 IPS |
|
|
Image Classification (Q)
|
100% |
3676
683.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6081
98.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9050
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8999
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
12982
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (Q)
|
87% |
3984
319.5 IPS |
|
|
Face Detection (SP)
|
100% |
5336
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
5423
64.4 IPS |
|
|
Face Detection (Q)
|
97% |
14124
168.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6390
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6442
49.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
11612
91.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24103
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24176
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35946
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4568
168.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4636
171.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6406
237.3 IPS |
|
|
Text Classification (SP)
|
100% |
1750
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1720
2.30 KIPS |
|
|
Text Classification (Q)
|
91% |
194
260.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1780
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1605
27.6 IPS |
