JGINYUE B760I GAMING
Geekbench AI Score
18787
Single Precision Score
43544
Half Precision Score
53047
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | sam_86314 |
| Upload Date | February 08 2026 12:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro B50 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | JGINYUE B760I GAMING |
| Motherboard | JGINYUE B760I GAMING |
| Power Plan | Winhance Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10264
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
24987
4.65 KIPS |
|
|
Image Classification (Q)
|
100% |
29419
5.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17138
277.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
32415
525.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
34755
563.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
48112
56.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
250519
292.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
525884
615.7 IPS |
|
|
Object Detection (SP)
|
100% |
8925
707.9 IPS |
|
|
Object Detection (HP)
|
100% |
24795
1.97 KIPS |
|
|
Object Detection (Q)
|
88% |
31584
2.53 KIPS |
|
|
Face Detection (SP)
|
100% |
22384
266.0 IPS |
|
|
Face Detection (HP)
|
100% |
51739
614.8 IPS |
|
|
Face Detection (Q)
|
100% |
66200
786.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
45656
351.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112450
866.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
139051
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
136602
175.6 IPS |
|
|
Style Transfer (HP)
|
100% |
477969
614.4 IPS |
|
|
Style Transfer (Q)
|
98% |
709792
915.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22925
846.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54852
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81956
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
5186
6.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5444
7.27 KIPS |
|
|
Text Classification (Q)
|
92% |
3319
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4371
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5867
101.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5846
100.7 IPS |
