Generic
Geekbench AI Score
1373
Single Precision Score
1429
Half Precision Score
1140
Quantized Score
Geekbench AI 1.7.0 for Windows x86 (64-bit)
Result Information
| User | F4T4L1TY |
| Upload Date | February 22 2026 03:07 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | ASUS R7 250X Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | To be filled by O.E.M. To be filled by O.E.M. |
| Power Plan | Teljestmnycentrikus |
| CPU Information | |
|---|---|
| Name | Intel Core i7-860 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 30 Stepping 5 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | SDRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
597
111.0 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.4 IPS |
|
|
Image Classification (Q)
|
100% |
558
103.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
797
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
671
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4541
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4552
5.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
4239
4.97 IPS |
|
|
Object Detection (SP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (HP)
|
100% |
747
59.3 IPS |
|
|
Object Detection (Q)
|
86% |
635
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
1411
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1538
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
1252
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2751
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2852
22.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
2345
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8497
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8586
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
7681
9.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1972
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1569
58.1 IPS |
|
|
Text Classification (SP)
|
100% |
498
664.6 IPS |
|
|
Text Classification (HP)
|
100% |
506
675.6 IPS |
|
|
Text Classification (Q)
|
97% |
329
440.4 IPS |
|
|
Machine Translation (SP)
|
100% |
508
8.74 IPS |
|
|
Machine Translation (HP)
|
96% |
515
8.91 IPS |
|
|
Machine Translation (Q)
|
70% |
317
5.94 IPS |
