SKIKK Loki 3070
Geekbench AI Score
2914
Single Precision Score
832
Half Precision Score
4407
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | jhaan |
| Upload Date | November 19 2024 08:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | SKIKK Loki 3070 |
| Motherboard | SKIKK.EU Loki |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1936
360.0 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.6 IPS |
|
|
Image Classification (Q)
|
97% |
3599
671.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (Q)
|
99% |
2646
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4815
5.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3570
4.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
15366
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
1995
158.3 IPS |
|
|
Object Detection (HP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (Q)
|
88% |
2081
166.8 IPS |
|
|
Face Detection (SP)
|
100% |
2804
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
413
4.91 IPS |
|
|
Face Detection (Q)
|
97% |
4938
58.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5605
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1105
8.52 IPS |
|
|
Depth Estimation (Q)
|
77% |
7000
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11308
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9048
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18052
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2336
86.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1768
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4035
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
1919
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
653
870.9 IPS |
|
|
Text Classification (Q)
|
97% |
1633
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2059
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (Q)
|
60% |
2211
49.3 IPS |
