MouseComputer FZI9G80G8BFD
Geekbench AI Score
5577
Single Precision Score
8771
Half Precision Score
13298
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 03:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MouseComputer FZI9G80G8BFD |
| Motherboard | MouseComputer Z890-Pls |
| 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% |
3657
680.1 IPS |
|
|
Image Classification (HP)
|
100% |
5675
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7594
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4002
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8673
140.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12272
198.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12076
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11261
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
37903
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
3399
269.6 IPS |
|
|
Object Detection (HP)
|
100% |
5605
444.6 IPS |
|
|
Object Detection (Q)
|
88% |
9013
722.3 IPS |
|
|
Face Detection (SP)
|
100% |
7153
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
12568
149.3 IPS |
|
|
Face Detection (Q)
|
100% |
18023
214.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12427
95.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
21969
169.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
26116
203.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29535
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
42385
54.5 IPS |
|
|
Style Transfer (Q)
|
98% |
88788
114.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5154
190.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9188
339.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14976
554.6 IPS |
|
|
Text Classification (SP)
|
71% |
1572
2.27 KIPS |
|
|
Text Classification (HP)
|
71% |
2474
3.58 KIPS |
|
|
Text Classification (Q)
|
92% |
2673
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (HP)
|
96% |
3262
56.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3248
55.9 IPS |
