EXPER FLX-GAM.XCL.XC306
Geekbench AI Score
2449
Single Precision Score
1242
Half Precision Score
5760
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Emir2816 |
| Upload Date | November 02 2025 08:33 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | EXPER FLX-GAM.XCL.XC306 |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H610M-F D4 R2.0 |
| Power Plan | Yksek performans |
| 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% |
1943
361.3 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (Q)
|
99% |
4973
927.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5013
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3237
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2565
2.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
14450
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1777
141.0 IPS |
|
|
Object Detection (HP)
|
100% |
632
50.2 IPS |
|
|
Object Detection (Q)
|
86% |
5237
420.8 IPS |
|
|
Face Detection (SP)
|
100% |
4050
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
6728
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4087
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1755
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10531
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7914
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6229
8.01 IPS |
|
|
Style Transfer (Q)
|
98% |
14421
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1317
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4529
167.7 IPS |
|
|
Text Classification (SP)
|
100% |
1346
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1510
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1845
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3050
61.3 IPS |
