Hewlett-Packard HP ProDesk 400 G1 MT
Geekbench AI Score
2026
Single Precision Score
2035
Half Precision Score
2216
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | October 22 2025 03:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4770 CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP ProDesk 400 G1 MT |
| Motherboard | Hewlett-Packard 198E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1219
226.6 IPS |
|
|
Image Classification (HP)
|
100% |
1183
220.1 IPS |
|
|
Image Classification (Q)
|
100% |
1423
264.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1616
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2704
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2683
3.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
3109
3.65 IPS |
|
|
Object Detection (SP)
|
100% |
1187
94.1 IPS |
|
|
Object Detection (HP)
|
100% |
1237
98.1 IPS |
|
|
Object Detection (Q)
|
87% |
1434
115.0 IPS |
|
|
Face Detection (SP)
|
100% |
2141
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2293
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
3945
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3349
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3338
25.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
3667
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7761
9.98 IPS |
|
|
Style Transfer (HP)
|
100% |
7652
9.84 IPS |
|
|
Style Transfer (Q)
|
98% |
8949
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1856
68.7 IPS |
|
|
Text Classification (SP)
|
100% |
1542
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1529
2.04 KIPS |
|
|
Text Classification (Q)
|
91% |
622
836.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1885
32.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1866
32.1 IPS |
