Lenovo ThinkStation P310 LENOVO 30ASS0EH00
Geekbench AI Score
6617
Single Precision Score
5244
Half Precision Score
4971
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | October 06 2025 04:43 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30ASS0EH00 |
| Motherboard | LENOVO 30C0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1275 v5 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2507
466.2 IPS |
|
|
Image Classification (HP)
|
100% |
2319
431.2 IPS |
|
|
Image Classification (Q)
|
99% |
2191
408.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4830
78.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3873
62.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4085
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
26047
30.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16863
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
22935
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
3244
257.3 IPS |
|
|
Object Detection (HP)
|
100% |
3054
242.2 IPS |
|
|
Object Detection (Q)
|
83% |
2799
226.2 IPS |
|
|
Face Detection (SP)
|
100% |
7938
94.3 IPS |
|
|
Face Detection (HP)
|
100% |
6459
76.7 IPS |
|
|
Face Detection (Q)
|
97% |
6781
80.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15802
121.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11969
92.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12245
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
47519
61.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32351
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
40567
52.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9097
335.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7252
267.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6380
236.2 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
711
952.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2216
38.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2243
38.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1051
19.7 IPS |
