System manufacturer System Product Name
Geekbench AI Score
17057
Single Precision Score
24998
Half Precision Score
9992
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 05:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X570-P |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6051
1.13 KIPS |
|
|
Image Classification (HP)
|
99% |
8324
1.55 KIPS |
|
|
Image Classification (Q)
|
100% |
4150
771.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
11013
178.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15741
255.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8131
132.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
149029
173.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
233424
272.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
90172
105.7 IPS |
|
|
Object Detection (SP)
|
100% |
8243
653.9 IPS |
|
|
Object Detection (HP)
|
100% |
11184
887.1 IPS |
|
|
Object Detection (Q)
|
85% |
5200
418.3 IPS |
|
|
Face Detection (SP)
|
100% |
25928
308.1 IPS |
|
|
Face Detection (HP)
|
100% |
29824
354.4 IPS |
|
|
Face Detection (Q)
|
97% |
14288
170.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38510
296.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
65982
508.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
22689
181.7 IPS |
|
|
Style Transfer (SP)
|
100% |
213438
274.4 IPS |
|
|
Style Transfer (HP)
|
100% |
556178
715.0 IPS |
|
|
Style Transfer (Q)
|
98% |
128370
165.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23045
851.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45337
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14443
534.8 IPS |
|
|
Text Classification (SP)
|
100% |
1638
2.19 KIPS |
|
|
Text Classification (HP)
|
99% |
2052
2.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1108
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3166
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2736
47.1 IPS |
|
|
Machine Translation (Q)
|
70% |
942
17.7 IPS |
