LENOVO 20VX00J2SP
Geekbench AI Score
1348
Single Precision Score
1354
Half Precision Score
735
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | svenrieke |
| Upload Date | June 30 2025 04:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Linux Mint 21.3 |
| Model | LENOVO 20VX00J2SP |
| Motherboard | LENOVO 20VX00J2SP |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
978
181.9 IPS |
|
|
Image Classification (HP)
|
100% |
992
184.4 IPS |
|
|
Image Classification (Q)
|
99% |
416
77.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
581
9.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
1581
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1520
1.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
1156
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
935
74.2 IPS |
|
|
Object Detection (HP)
|
100% |
951
75.4 IPS |
|
|
Object Detection (Q)
|
85% |
502
40.4 IPS |
|
|
Face Detection (SP)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
1788
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
1166
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1645
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1641
12.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
948
8.88 IPS |
|
|
Style Transfer (SP)
|
100% |
2166
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
2146
2.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2510
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1001
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
660
24.5 IPS |
|
|
Text Classification (SP)
|
100% |
1157
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1183
1.58 KIPS |
|
|
Text Classification (Q)
|
92% |
465
625.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (Q)
|
58% |
386
9.07 IPS |
