Generic
Geekbench AI Score
24536
Single Precision Score
36671
Half Precision Score
14908
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 12:10 AM |
| Views | 6 |
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% |
9595
1.78 KIPS |
|
|
Image Classification (HP)
|
99% |
13325
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
6451
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16487
267.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23053
373.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11927
193.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
165726
193.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
355560
414.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
127855
149.8 IPS |
|
|
Object Detection (SP)
|
100% |
12268
973.1 IPS |
|
|
Object Detection (HP)
|
100% |
16980
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
8282
666.2 IPS |
|
|
Face Detection (SP)
|
100% |
33033
392.5 IPS |
|
|
Face Detection (HP)
|
100% |
46555
553.2 IPS |
|
|
Face Detection (Q)
|
97% |
21671
258.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
59378
457.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
103408
796.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
35608
285.2 IPS |
|
|
Style Transfer (SP)
|
100% |
263544
338.8 IPS |
|
|
Style Transfer (HP)
|
100% |
611676
786.3 IPS |
|
|
Style Transfer (Q)
|
98% |
189516
244.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37385
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51443
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21131
782.4 IPS |
|
|
Text Classification (SP)
|
100% |
2843
3.80 KIPS |
|
|
Text Classification (HP)
|
99% |
3558
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1409
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4476
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4400
75.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1529
28.7 IPS |
