EXPER FLX.GAM.XCL.XC306
Geekbench AI Score
17247
Single Precision Score
28741
Half Precision Score
13772
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 11:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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% |
6885
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
11952
2.23 KIPS |
|
|
Image Classification (Q)
|
99% |
6203
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11931
193.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16191
262.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10754
174.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
89821
104.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
241049
281.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
78589
92.1 IPS |
|
|
Object Detection (SP)
|
100% |
8578
680.4 IPS |
|
|
Object Detection (HP)
|
100% |
14806
1.17 KIPS |
|
|
Object Detection (Q)
|
84% |
7539
608.1 IPS |
|
|
Face Detection (SP)
|
100% |
20124
239.1 IPS |
|
|
Face Detection (HP)
|
100% |
32132
381.8 IPS |
|
|
Face Detection (Q)
|
97% |
18204
217.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
41814
322.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78792
607.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
35130
281.0 IPS |
|
|
Style Transfer (SP)
|
100% |
140354
180.4 IPS |
|
|
Style Transfer (HP)
|
100% |
344448
442.8 IPS |
|
|
Style Transfer (Q)
|
98% |
125398
161.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28013
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44933
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21671
802.4 IPS |
|
|
Text Classification (SP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (Q)
|
97% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3955
68.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1919
36.0 IPS |
