Lenovo ThinkCentre M93p i7-4785T (2013) LENOVO 10AB003LMX
Geekbench AI Score
1402
Single Precision Score
1401
Half Precision Score
1757
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | slimg |
| Upload Date | July 16 2025 11:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4785T CPU @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | LENOVO 10AB003LMX |
| Motherboard | LENOVO SHARKBAY |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4785T |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
887
165.0 IPS |
|
|
Image Classification (HP)
|
100% |
891
165.6 IPS |
|
|
Image Classification (Q)
|
100% |
1215
226.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1244
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1777
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1741
2.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
2283
2.68 IPS |
|
|
Object Detection (SP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (HP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (Q)
|
87% |
1174
94.2 IPS |
|
|
Face Detection (SP)
|
100% |
1336
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1321
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
3077
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2207
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2373
18.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
3052
24.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5318
6.84 IPS |
|
|
Style Transfer (HP)
|
100% |
5082
6.53 IPS |
|
|
Style Transfer (Q)
|
98% |
6541
8.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1135
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1153
42.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1539
57.0 IPS |
|
|
Text Classification (SP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (Q)
|
91% |
574
771.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1280
22.0 IPS |
