Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4
Geekbench AI Score
4382
Single Precision Score
4286
Half Precision Score
12357
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | phils8s4 |
| Upload Date | December 19 2025 04:03 AM |
| Views | 44 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2345
436.0 IPS |
|
|
Image Classification (HP)
|
100% |
2333
433.9 IPS |
|
|
Image Classification (Q)
|
100% |
8593
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3632
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3631
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9646
156.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7489
8.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
7495
8.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
28850
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
2241
177.8 IPS |
|
|
Object Detection (HP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (Q)
|
88% |
8737
700.4 IPS |
|
|
Face Detection (SP)
|
100% |
7396
87.9 IPS |
|
|
Face Detection (HP)
|
100% |
7460
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
21568
256.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6823
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6832
52.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
24141
187.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19534
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19324
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
79328
102.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3548
131.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14395
533.1 IPS |
|
|
Text Classification (SP)
|
100% |
2334
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (Q)
|
92% |
4718
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2219
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1761
30.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1417
24.4 IPS |
