X-kom sp. z o.o. 43 PRO
Geekbench AI Score
10010
Single Precision Score
8355
Half Precision Score
12511
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 03:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X-kom sp. z o.o. 43 PRO |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6426
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
4987
927.5 IPS |
|
|
Image Classification (Q)
|
56% |
5058
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8872
143.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3855
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15519
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
33420
39.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
71603
83.9 IPS |
|
|
Object Detection (SP)
|
100% |
6112
484.8 IPS |
|
|
Object Detection (HP)
|
100% |
4944
392.1 IPS |
|
|
Object Detection (Q)
|
87% |
9065
727.5 IPS |
|
|
Face Detection (SP)
|
100% |
17211
204.5 IPS |
|
|
Face Detection (HP)
|
100% |
12782
151.9 IPS |
|
|
Face Detection (Q)
|
100% |
21507
255.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15338
118.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16819
129.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
31856
247.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43422
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49112
63.1 IPS |
|
|
Style Transfer (Q)
|
98% |
90910
117.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9389
346.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13580
501.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25233
934.5 IPS |
|
|
Text Classification (SP)
|
100% |
4544
6.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1598
2.13 KIPS |
|
|
Text Classification (Q)
|
92% |
1508
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3821
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3049
52.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3134
54.0 IPS |
