HP HP Z2 Mini G9 Workstation Desktop PC
Geekbench AI Score
18929
Single Precision Score
31559
Half Precision Score
14622
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rolandrasch |
| Upload Date | January 23 2025 12:13 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 SFF Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Mini G9 Workstation Desktop PC |
| Motherboard | HP 895E |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8052
1.50 KIPS |
|
|
Image Classification (HP)
|
99% |
14152
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
7325
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12485
202.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16359
265.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11109
180.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
87078
101.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
249085
290.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
79400
93.0 IPS |
|
|
Object Detection (SP)
|
100% |
9024
715.8 IPS |
|
|
Object Detection (HP)
|
100% |
16843
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
7807
628.5 IPS |
|
|
Face Detection (SP)
|
100% |
23720
281.8 IPS |
|
|
Face Detection (HP)
|
100% |
35869
426.2 IPS |
|
|
Face Detection (Q)
|
97% |
20088
239.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
40656
313.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
82755
639.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
31836
255.7 IPS |
|
|
Style Transfer (SP)
|
100% |
174671
224.5 IPS |
|
|
Style Transfer (HP)
|
100% |
449009
577.2 IPS |
|
|
Style Transfer (Q)
|
98% |
156228
201.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36270
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48065
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25789
954.9 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
4231
5.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1913
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1797
33.7 IPS |
