BESSTAR TECH LIMITED HM80
Geekbench AI Score
13684
Single Precision Score
22557
Half Precision Score
8987
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | fakezeta |
| Upload Date | September 04 2024 03:57 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | BESSTAR TECH LIMITED HM80 |
| Motherboard | |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600 |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5427
1.01 KIPS |
|
|
Image Classification (HP)
|
99% |
8312
1.55 KIPS |
|
|
Image Classification (Q)
|
100% |
4037
750.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9476
153.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14513
235.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8228
133.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
78104
91.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
226400
264.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
61651
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
6564
520.7 IPS |
|
|
Object Detection (HP)
|
100% |
11113
881.5 IPS |
|
|
Object Detection (Q)
|
88% |
4734
379.7 IPS |
|
|
Face Detection (SP)
|
100% |
16576
197.0 IPS |
|
|
Face Detection (HP)
|
100% |
25139
298.7 IPS |
|
|
Face Detection (Q)
|
97% |
12161
145.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
30547
235.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
61871
476.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
20707
167.0 IPS |
|
|
Style Transfer (SP)
|
100% |
129806
166.9 IPS |
|
|
Style Transfer (HP)
|
100% |
332750
427.8 IPS |
|
|
Style Transfer (Q)
|
98% |
106770
137.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24168
892.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30277
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14428
534.2 IPS |
|
|
Text Classification (SP)
|
100% |
2009
2.68 KIPS |
|
|
Text Classification (HP)
|
99% |
2918
3.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1030
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2737
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2458
42.3 IPS |
|
|
Machine Translation (Q)
|
60% |
888
19.8 IPS |
