HP HP Z240 SFF Workstation
Geekbench AI Score
1156
Single Precision Score
1158
Half Precision Score
694
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | flipflop |
| Upload Date | May 26 2025 07:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
866
161.0 IPS |
|
|
Image Classification (HP)
|
100% |
876
162.9 IPS |
|
|
Image Classification (Q)
|
99% |
451
84.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
485
7.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
1319
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1336
1.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
1146
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
887
70.4 IPS |
|
|
Object Detection (HP)
|
100% |
886
70.3 IPS |
|
|
Object Detection (Q)
|
85% |
497
40.0 IPS |
|
|
Face Detection (SP)
|
100% |
1360
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1355
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
1076
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1337
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1349
10.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
927
8.69 IPS |
|
|
Style Transfer (SP)
|
100% |
1732
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
1713
2.20 IPS |
|
|
Style Transfer (Q)
|
98% |
2364
3.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
650
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
1140
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
390
524.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (Q)
|
58% |
351
8.23 IPS |
