System manufacturer System Product Name
Geekbench AI Score
34482
Single Precision Score
56207
Half Precision Score
26203
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Natrep |
| Upload Date | July 05 2025 10:27 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-F GAMING |
| Power Plan | Hg prestanda |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13421
2.50 KIPS |
|
|
Image Classification (HP)
|
100% |
19245
3.58 KIPS |
|
|
Image Classification (Q)
|
100% |
11865
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25586
414.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
35593
577.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22797
370.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
232961
271.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
699551
816.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
198631
232.7 IPS |
|
|
Object Detection (SP)
|
100% |
18088
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
26747
2.12 KIPS |
|
|
Object Detection (Q)
|
86% |
15172
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
54571
648.4 IPS |
|
|
Face Detection (HP)
|
100% |
78002
926.8 IPS |
|
|
Face Detection (Q)
|
97% |
44013
524.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
88220
679.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
158626
1.22 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64611
516.0 IPS |
|
|
Style Transfer (SP)
|
100% |
334459
430.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1041810
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
291854
376.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50490
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77261
2.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38353
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2042
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
6246
107.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6264
107.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2880
54.0 IPS |
