EXPER FLX.GAM.XCL.XC306
Geekbench AI Score
2333
Single Precision Score
1228
Half Precision Score
5547
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 11:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | EXPER FLX.GAM.XCL.XC306 |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H610M-F D4 R2.0 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1785
331.9 IPS |
|
|
Image Classification (HP)
|
100% |
497
92.4 IPS |
|
|
Image Classification (Q)
|
99% |
4617
861.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
731
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5140
83.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3210
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2778
3.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
13889
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
86% |
4405
354.0 IPS |
|
|
Face Detection (SP)
|
100% |
3709
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
1350
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
6715
80.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4188
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1737
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10428
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8448
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6666
8.57 IPS |
|
|
Style Transfer (Q)
|
98% |
14081
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1373
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4875
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
1313
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1431
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1702
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2764
55.5 IPS |
