JGINYUE B760M GAMING
Geekbench AI Score
14380
Single Precision Score
21994
Half Precision Score
9347
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | September 26 2024 06:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | JGINYUE B760M GAMING |
| Motherboard | JGINYUE B760M GAMING |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6144
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
8190
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
3986
741.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9400
152.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11784
191.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6759
109.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
88149
102.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
256452
299.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
70622
82.7 IPS |
|
|
Object Detection (SP)
|
100% |
7034
557.9 IPS |
|
|
Object Detection (HP)
|
100% |
9332
740.2 IPS |
|
|
Object Detection (Q)
|
89% |
4920
393.9 IPS |
|
|
Face Detection (SP)
|
100% |
15983
189.9 IPS |
|
|
Face Detection (HP)
|
100% |
23536
279.7 IPS |
|
|
Face Detection (Q)
|
97% |
12132
144.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
39535
304.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
60784
468.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
25305
203.7 IPS |
|
|
Style Transfer (SP)
|
100% |
165460
212.7 IPS |
|
|
Style Transfer (HP)
|
100% |
351434
451.8 IPS |
|
|
Style Transfer (Q)
|
98% |
127881
164.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26068
962.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33970
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15008
555.7 IPS |
|
|
Text Classification (SP)
|
100% |
1659
2.21 KIPS |
|
|
Text Classification (HP)
|
99% |
2782
3.71 KIPS |
|
|
Text Classification (Q)
|
97% |
977
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2336
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2414
41.6 IPS |
|
|
Machine Translation (Q)
|
60% |
945
21.1 IPS |
