HP HP Z240 SFF Workstation
Geekbench AI Score
1801
Single Precision Score
574
Half Precision Score
2612
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | flipflop |
| Upload Date | May 26 2025 07:13 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700 |
| System Information | |
|---|---|
| Operating System | Devuan GNU/Linux 5 (daedalus) |
| Model | HP HP Z240 SFF Workstation |
| Motherboard | HP 802E |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1121
208.5 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.7 IPS |
|
|
Image Classification (Q)
|
94% |
2136
399.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1443
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3140
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2430
2.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
5086
6.01 IPS |
|
|
Object Detection (SP)
|
100% |
1108
87.9 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (Q)
|
58% |
1521
166.2 IPS |
|
|
Face Detection (SP)
|
100% |
1414
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
284
3.37 IPS |
|
|
Face Detection (Q)
|
96% |
4858
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3339
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
787
6.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
4874
38.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7267
9.34 IPS |
|
|
Style Transfer (HP)
|
100% |
5698
7.32 IPS |
|
|
Style Transfer (Q)
|
87% |
8352
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1194
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1797
66.6 IPS |
|
|
Text Classification (SP)
|
100% |
1404
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
459
613.2 IPS |
|
|
Text Classification (Q)
|
97% |
1078
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.81 IPS |
|
|
Machine Translation (Q)
|
68% |
1624
31.4 IPS |
