ITMediaConsult AG Pentino_H-Series I_MT_B150-1
Geekbench AI Score
7718
Single Precision Score
7831
Half Precision Score
5749
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | agg_1977 |
| Upload Date | April 22 2025 09:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ITMediaConsult AG Pentino_H-Series I_MT_B150-1 |
| Motherboard | ASUSTeK COMPUTER INC. B150M-C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1971
366.6 IPS |
|
|
Image Classification (HP)
|
100% |
3092
575.1 IPS |
|
|
Image Classification (Q)
|
99% |
1780
331.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5029
81.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4839
78.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4230
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
58468
68.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31168
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
45267
53.0 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
100% |
4073
323.0 IPS |
|
|
Object Detection (Q)
|
84% |
2309
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
5371
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
8122
96.5 IPS |
|
|
Face Detection (Q)
|
97% |
4766
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17242
132.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16642
128.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13555
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
92557
119.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53969
69.4 IPS |
|
|
Style Transfer (Q)
|
98% |
70501
90.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14447
533.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11998
443.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9394
347.8 IPS |
|
|
Text Classification (SP)
|
100% |
1484
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2000
2.67 KIPS |
|
|
Text Classification (Q)
|
97% |
884
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2683
46.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2609
45.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1325
24.8 IPS |
