Generic
Geekbench AI Score
24674
Single Precision Score
36956
Half Precision Score
14901
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 12:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock X570S PG Riptide |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9713
1.81 KIPS |
|
|
Image Classification (HP)
|
99% |
13490
2.52 KIPS |
|
|
Image Classification (Q)
|
100% |
6445
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16611
269.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22979
372.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11899
193.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
166847
194.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
360649
420.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
124809
146.2 IPS |
|
|
Object Detection (SP)
|
100% |
12343
979.1 IPS |
|
|
Object Detection (HP)
|
100% |
17240
1.37 KIPS |
|
|
Object Detection (Q)
|
85% |
8260
664.5 IPS |
|
|
Face Detection (SP)
|
100% |
32924
391.2 IPS |
|
|
Face Detection (HP)
|
100% |
46456
552.0 IPS |
|
|
Face Detection (Q)
|
97% |
21806
260.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
59224
456.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103501
797.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
35644
285.5 IPS |
|
|
Style Transfer (SP)
|
100% |
266244
342.3 IPS |
|
|
Style Transfer (HP)
|
100% |
625426
804.0 IPS |
|
|
Style Transfer (Q)
|
98% |
189646
244.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38025
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52310
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21098
781.2 IPS |
|
|
Text Classification (SP)
|
100% |
2846
3.80 KIPS |
|
|
Text Classification (HP)
|
99% |
3571
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1433
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4482
77.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1532
28.7 IPS |
