System manufacturer System Product Name
Geekbench AI Score
31583
Single Precision Score
42977
Half Precision Score
25199
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 28 2026 03:29 AM |
| Views | 3 |
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% |
11114
2.07 KIPS |
|
|
Image Classification (HP)
|
100% |
14755
2.74 KIPS |
|
|
Image Classification (Q)
|
100% |
10793
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17701
286.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19798
320.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16739
272.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
323561
377.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
670191
782.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
272341
319.0 IPS |
|
|
Object Detection (SP)
|
100% |
15483
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
18866
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
13285
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
36964
439.2 IPS |
|
|
Face Detection (HP)
|
100% |
41921
498.1 IPS |
|
|
Face Detection (Q)
|
97% |
32586
388.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
81218
625.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
133740
1.03 KIPS |
|
|
Depth Estimation (Q)
|
77% |
62401
499.8 IPS |
|
|
Style Transfer (SP)
|
100% |
460440
591.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1000719
1.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
417047
537.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56629
2.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70035
2.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41562
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3666
4.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2061
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3956
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4041
69.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2175
40.8 IPS |
