Gigabyte Technology Co., Ltd. B365M DS3H
Geekbench AI Score
9581
Single Precision Score
7736
Half Precision Score
6783
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | batest23 |
| Upload Date | November 18 2024 12:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B365M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B365M DS3H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600KF |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3904
726.1 IPS |
|
|
Image Classification (HP)
|
100% |
3695
687.2 IPS |
|
|
Image Classification (Q)
|
100% |
3052
567.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6204
100.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5224
84.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5354
87.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
41838
48.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25696
30.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
36697
43.0 IPS |
|
|
Object Detection (SP)
|
100% |
4877
386.8 IPS |
|
|
Object Detection (HP)
|
100% |
4557
361.5 IPS |
|
|
Object Detection (Q)
|
89% |
3470
277.9 IPS |
|
|
Face Detection (SP)
|
100% |
10168
120.8 IPS |
|
|
Face Detection (HP)
|
100% |
8661
102.9 IPS |
|
|
Face Detection (Q)
|
97% |
8211
97.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23141
178.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17764
136.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
16881
135.8 IPS |
|
|
Style Transfer (SP)
|
100% |
75256
96.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50999
65.6 IPS |
|
|
Style Transfer (Q)
|
98% |
63875
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15268
563.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11506
424.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9774
361.9 IPS |
|
|
Text Classification (SP)
|
100% |
1884
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1088
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2591
44.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2574
44.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1053
23.5 IPS |
