System76 Thelio
Geekbench AI Score
10051
Single Precision Score
8019
Half Precision Score
7276
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | elbonian |
| Upload Date | November 29 2025 12:07 AM |
| Views | 4 |
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% |
4100
762.6 IPS |
|
|
Image Classification (HP)
|
100% |
3824
711.2 IPS |
|
|
Image Classification (Q)
|
99% |
3345
624.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7089
114.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5840
94.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5939
96.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
41397
48.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
25496
29.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
36251
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
5111
405.4 IPS |
|
|
Object Detection (HP)
|
100% |
4731
375.3 IPS |
|
|
Object Detection (Q)
|
83% |
4124
333.2 IPS |
|
|
Face Detection (SP)
|
100% |
11826
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
9668
114.9 IPS |
|
|
Face Detection (Q)
|
97% |
10046
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
24329
187.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18052
139.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17968
143.4 IPS |
|
|
Style Transfer (SP)
|
100% |
73702
94.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49823
64.0 IPS |
|
|
Style Transfer (Q)
|
98% |
62873
81.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14782
545.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11045
407.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9530
352.9 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1332
1.78 KIPS |
|
|
Text Classification (Q)
|
97% |
983
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3191
55.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1318
24.7 IPS |
