HP HP Z240 Tower Workstation
Geekbench AI Score
3453
Single Precision Score
3434
Half Precision Score
2605
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | October 10 2025 04:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z240 Tower Workstation |
| Motherboard | HP 802F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1245 v5 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
736
136.9 IPS |
|
|
Image Classification (HP)
|
100% |
1410
262.3 IPS |
|
|
Image Classification (Q)
|
99% |
684
127.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1780
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18044
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9892
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
15208
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1031
81.8 IPS |
|
|
Object Detection (HP)
|
100% |
1710
135.6 IPS |
|
|
Object Detection (Q)
|
83% |
933
75.3 IPS |
|
|
Face Detection (SP)
|
100% |
2040
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (Q)
|
97% |
1818
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6833
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6206
47.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
5522
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30505
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18354
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24994
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6821
251.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4528
167.7 IPS |
|
|
Text Classification (SP)
|
100% |
1337
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1462
1.95 KIPS |
|
|
Text Classification (Q)
|
97% |
783
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2100
36.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2021
34.9 IPS |
|
|
Machine Translation (Q)
|
70% |
938
17.6 IPS |
