Hewlett-Packard HP ProDesk 600 G1 SFF
Geekbench AI Score
855
Single Precision Score
843
Half Precision Score
574
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | langa |
| Upload Date | April 12 2026 07:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-4790S |
| System Information | |
|---|---|
| Operating System | Zorin OS 18.1 |
| Model | Hewlett-Packard HP ProDesk 600 G1 SFF |
| Motherboard | Hewlett-Packard 18E7 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790S |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
631
117.3 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.3 IPS |
|
|
Image Classification (Q)
|
99% |
375
69.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
428
6.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
994
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1005
1.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
956
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
654
51.9 IPS |
|
|
Object Detection (HP)
|
100% |
671
53.2 IPS |
|
|
Object Detection (Q)
|
85% |
419
33.8 IPS |
|
|
Face Detection (SP)
|
100% |
974
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
856
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
836
9.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
863
6.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
851
6.56 IPS |
|
|
Depth Estimation (Q)
|
63% |
710
6.66 IPS |
|
|
Style Transfer (SP)
|
100% |
1371
1.76 IPS |
|
|
Style Transfer (HP)
|
100% |
1362
1.75 IPS |
|
|
Style Transfer (Q)
|
98% |
2043
2.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
600
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
547
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (Q)
|
92% |
324
435.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
58% |
285
6.70 IPS |
