zanzibar HP Z2 Mini G9 HP HP Z2 Mini G9 Workstation Desktop PC
Geekbench AI Score
2981
Single Precision Score
2930
Half Precision Score
1909
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | fazalmajid |
| Upload Date | March 08 2025 09:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | HP HP Z2 Mini G9 Workstation Desktop PC |
| Motherboard | HP 895E |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2186
406.6 IPS |
|
|
Image Classification (HP)
|
100% |
2180
405.4 IPS |
|
|
Image Classification (Q)
|
99% |
1504
280.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3377
54.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3383
54.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1273
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3908
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3899
4.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
4812
5.64 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
100% |
2588
205.3 IPS |
|
|
Object Detection (Q)
|
85% |
1684
135.6 IPS |
|
|
Face Detection (SP)
|
100% |
4111
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
4100
48.7 IPS |
|
|
Face Detection (Q)
|
97% |
2975
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3433
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3539
27.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2419
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4419
5.68 IPS |
|
|
Style Transfer (HP)
|
100% |
4417
5.68 IPS |
|
|
Style Transfer (Q)
|
98% |
7672
9.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2454
90.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2027
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1881
69.7 IPS |
|
|
Text Classification (SP)
|
100% |
1495
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
681
915.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3253
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (Q)
|
58% |
586
13.8 IPS |
