Generic
Geekbench AI Score
2769
Single Precision Score
2725
Half Precision Score
2142
Quantized Score
Geekbench AI 1.7.0 for Windows x86 (64-bit)
Result Information
| User | kszycho |
| Upload Date | March 17 2026 09:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock A780GXE/128M |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Phenom II X4 955 Black Edition |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 16 Model 4 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.00 GB |
| Type | DDR-2 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
633
117.7 IPS |
|
|
Image Classification (HP)
|
100% |
1162
216.0 IPS |
|
|
Image Classification (Q)
|
100% |
584
108.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1335
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16778
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9293
10.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14405
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
874
69.3 IPS |
|
|
Object Detection (HP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (Q)
|
83% |
791
63.9 IPS |
|
|
Face Detection (SP)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
1537
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6141
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5651
43.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5026
40.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28051
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17085
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23130
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5909
218.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4218
155.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3828
141.7 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1150
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
538
720.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1022
17.7 IPS |
|
|
Machine Translation (Q)
|
70% |
624
11.7 IPS |
