SKIKK Loki 3070
Geekbench AI Score
1834
Single Precision Score
1866
Half Precision Score
1171
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | jhaan |
| Upload Date | November 19 2024 08:29 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
1235
229.6 IPS |
|
|
Image Classification (Q)
|
99% |
819
152.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
847
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2226
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2235
2.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
2180
2.55 IPS |
|
|
Object Detection (SP)
|
100% |
1258
99.8 IPS |
|
|
Object Detection (HP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (Q)
|
85% |
692
55.7 IPS |
|
|
Face Detection (SP)
|
100% |
2386
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
2456
29.2 IPS |
|
|
Face Detection (Q)
|
97% |
1825
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2245
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2258
17.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1555
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2782
3.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2787
3.58 IPS |
|
|
Style Transfer (Q)
|
98% |
4453
5.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1404
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1398
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1100
40.8 IPS |
|
|
Text Classification (SP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1622
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
588
789.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2190
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2240
38.6 IPS |
|
|
Machine Translation (Q)
|
58% |
567
13.3 IPS |
