13th Gen Intel(R) Core(TM) i5-13400TEF OpenVINO Gigabyte Technology Co., Ltd. B760M D2HX SI DDR4
Geekbench AI Score
3617
Single Precision Score
3692
Half Precision Score
8440
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 98Fengyu |
| Upload Date | February 01 2026 01:20 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13400TEF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M D2HX SI DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M D2HX SI DDR4 |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i5-13400TEF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2152
400.1 IPS |
|
|
Image Classification (HP)
|
100% |
2295
426.7 IPS |
|
|
Image Classification (Q)
|
100% |
5250
976.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2917
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5574
90.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4205
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4258
4.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
15535
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2176
172.6 IPS |
|
|
Object Detection (HP)
|
100% |
2294
182.0 IPS |
|
|
Object Detection (Q)
|
88% |
5518
442.3 IPS |
|
|
Face Detection (SP)
|
100% |
5747
68.3 IPS |
|
|
Face Detection (HP)
|
100% |
5643
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
12745
151.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5467
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5455
42.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
14265
111.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12539
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12816
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
44320
57.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2523
93.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2809
103.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8493
314.5 IPS |
|
|
Text Classification (SP)
|
100% |
2104
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2109
2.81 KIPS |
|
|
Text Classification (Q)
|
92% |
3360
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3165
54.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3180
54.8 IPS |
