System manufacturer System Product Name
Geekbench AI Score
11278
Single Precision Score
10403
Half Precision Score
7898
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | GyBHard |
| Upload Date | August 10 2025 07:33 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF B450-PLUS GAMING |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 1300X |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3519
654.4 IPS |
|
|
Image Classification (HP)
|
100% |
4393
816.9 IPS |
|
|
Image Classification (Q)
|
99% |
2941
548.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7568
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7368
119.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5767
93.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
86861
101.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49707
58.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
64990
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
4207
333.7 IPS |
|
|
Object Detection (HP)
|
100% |
5577
442.4 IPS |
|
|
Object Detection (Q)
|
84% |
3440
277.4 IPS |
|
|
Face Detection (SP)
|
100% |
8260
98.1 IPS |
|
|
Face Detection (HP)
|
100% |
11468
136.3 IPS |
|
|
Face Detection (Q)
|
97% |
6811
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27271
210.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20920
161.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
18786
150.5 IPS |
|
|
Style Transfer (SP)
|
100% |
145813
187.4 IPS |
|
|
Style Transfer (HP)
|
100% |
74491
95.8 IPS |
|
|
Style Transfer (Q)
|
98% |
103625
133.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22710
838.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16433
606.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13026
482.3 IPS |
|
|
Text Classification (SP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1892
2.53 KIPS |
|
|
Text Classification (Q)
|
97% |
976
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3040
52.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2980
51.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1478
27.7 IPS |
