System76 Thelio
Geekbench AI Score
10199
Single Precision Score
8151
Half Precision Score
7358
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | elbonian |
| Upload Date | November 18 2025 01:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| 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% |
4177
776.7 IPS |
|
|
Image Classification (HP)
|
100% |
3916
728.2 IPS |
|
|
Image Classification (Q)
|
99% |
3403
634.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7165
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5927
96.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5993
97.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
42508
49.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
25971
30.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
36605
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
5169
410.0 IPS |
|
|
Object Detection (HP)
|
100% |
4779
379.1 IPS |
|
|
Object Detection (Q)
|
83% |
4221
341.1 IPS |
|
|
Face Detection (SP)
|
100% |
11921
141.6 IPS |
|
|
Face Detection (HP)
|
100% |
9783
116.2 IPS |
|
|
Face Detection (Q)
|
97% |
10019
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24496
188.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18493
142.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
18251
145.6 IPS |
|
|
Style Transfer (SP)
|
100% |
75244
96.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50714
65.2 IPS |
|
|
Style Transfer (Q)
|
98% |
63141
81.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14953
552.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11220
414.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9544
353.4 IPS |
|
|
Text Classification (SP)
|
100% |
1741
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1372
1.83 KIPS |
|
|
Text Classification (Q)
|
97% |
998
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3240
55.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3185
55.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1343
25.2 IPS |
