LENOVO 90S10003US
Geekbench AI Score
16881
Single Precision Score
26992
Half Precision Score
10625
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Midway91 |
| Upload Date | November 08 2024 04:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90S10003US |
| Motherboard | LENOVO 3750 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6391
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
9704
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
4495
836.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10859
176.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15412
249.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8796
143.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
97999
114.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
276445
322.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
78045
91.4 IPS |
|
|
Object Detection (SP)
|
100% |
8487
673.2 IPS |
|
|
Object Detection (HP)
|
100% |
12720
1.01 KIPS |
|
|
Object Detection (Q)
|
88% |
5904
473.4 IPS |
|
|
Face Detection (SP)
|
100% |
18440
219.1 IPS |
|
|
Face Detection (HP)
|
100% |
28189
334.9 IPS |
|
|
Face Detection (Q)
|
97% |
13509
161.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
40880
315.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
75104
578.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
26284
211.7 IPS |
|
|
Style Transfer (SP)
|
100% |
167367
215.2 IPS |
|
|
Style Transfer (HP)
|
100% |
412215
529.9 IPS |
|
|
Style Transfer (Q)
|
98% |
127911
164.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27534
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36714
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16278
602.8 IPS |
|
|
Text Classification (SP)
|
100% |
2805
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3600
4.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1190
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3343
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3385
58.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1145
25.5 IPS |
