HP HP Z240 SFF Workstation
Geekbench AI Score
2480
Single Precision Score
2472
Half Precision Score
3751
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | flipflop |
| Upload Date | May 26 2025 07:18 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz |
| 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% |
1499
278.8 IPS |
|
|
Image Classification (HP)
|
100% |
1499
278.8 IPS |
|
|
Image Classification (Q)
|
100% |
2391
444.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2438
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3076
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3048
3.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
5567
6.53 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (Q)
|
87% |
2396
192.2 IPS |
|
|
Face Detection (SP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
6136
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3955
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3962
30.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
6368
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8815
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8807
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15892
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3317
122.9 IPS |
|
|
Text Classification (SP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1838
2.45 KIPS |
|
|
Text Classification (Q)
|
91% |
1189
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2932
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2895
49.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2896
49.9 IPS |
