System manufacturer System Product Name
Geekbench AI Score
31760
Single Precision Score
41530
Half Precision Score
24772
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 28 2026 03:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B150M-PLUS |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12505
2.33 KIPS |
|
|
Image Classification (HP)
|
100% |
14779
2.75 KIPS |
|
|
Image Classification (Q)
|
100% |
11015
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17339
281.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19731
319.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16907
274.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
324842
379.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
622640
726.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
272461
319.1 IPS |
|
|
Object Detection (SP)
|
100% |
14375
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
16015
1.27 KIPS |
|
|
Object Detection (Q)
|
85% |
11764
947.8 IPS |
|
|
Face Detection (SP)
|
100% |
36861
438.0 IPS |
|
|
Face Detection (HP)
|
100% |
44064
523.6 IPS |
|
|
Face Detection (Q)
|
97% |
32534
388.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
85655
659.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
133435
1.03 KIPS |
|
|
Depth Estimation (Q)
|
77% |
62975
504.4 IPS |
|
|
Style Transfer (SP)
|
100% |
489617
629.4 IPS |
|
|
Style Transfer (HP)
|
100% |
964441
1.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
415476
535.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55352
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62461
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37897
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3648
4.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2058
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4063
70.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2196
41.2 IPS |
