System manufacturer System Product Name
Geekbench AI Score
34233
Single Precision Score
55992
Half Precision Score
25883
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Natrep |
| Upload Date | July 05 2025 10:03 AM |
| Views | 16 |
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% |
13176
2.45 KIPS |
|
|
Image Classification (HP)
|
100% |
19133
3.56 KIPS |
|
|
Image Classification (Q)
|
100% |
11632
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25472
412.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
35132
569.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21774
354.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
230288
268.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
683516
797.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
197033
230.8 IPS |
|
|
Object Detection (SP)
|
100% |
17800
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
26380
2.09 KIPS |
|
|
Object Detection (Q)
|
86% |
15107
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
52754
626.8 IPS |
|
|
Face Detection (HP)
|
100% |
77191
917.2 IPS |
|
|
Face Detection (Q)
|
97% |
43183
514.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
87073
670.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
162589
1.25 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63422
506.5 IPS |
|
|
Style Transfer (SP)
|
100% |
331064
425.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1043109
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
289218
372.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50905
1.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76627
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38272
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3953
5.28 KIPS |
|
|
Text Classification (Q)
|
97% |
2077
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
6272
108.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6302
108.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2843
53.3 IPS |
