Generic
Geekbench AI Score
12625
Single Precision Score
20426
Half Precision Score
8658
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | November 27 2024 02:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B360M Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8086K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5232
973.0 IPS |
|
|
Image Classification (HP)
|
99% |
7793
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
3882
721.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7617
123.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10538
170.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6486
105.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
70871
82.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
176674
206.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
57755
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
5998
475.7 IPS |
|
|
Object Detection (HP)
|
100% |
10593
840.3 IPS |
|
|
Object Detection (Q)
|
89% |
4732
378.8 IPS |
|
|
Face Detection (SP)
|
100% |
14177
168.5 IPS |
|
|
Face Detection (HP)
|
100% |
20790
247.0 IPS |
|
|
Face Detection (Q)
|
97% |
10929
130.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32203
248.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
60317
466.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
22031
177.5 IPS |
|
|
Style Transfer (SP)
|
100% |
119062
153.1 IPS |
|
|
Style Transfer (HP)
|
100% |
283769
364.8 IPS |
|
|
Style Transfer (Q)
|
98% |
94542
121.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19879
734.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30917
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13092
484.8 IPS |
|
|
Text Classification (SP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (HP)
|
99% |
2929
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1113
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2542
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2553
44.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1037
23.1 IPS |
