MouseComputer Z890-Pls
Geekbench AI Score
22038
Single Precision Score
40157
Half Precision Score
17145
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Satoshi65 |
| Upload Date | September 19 2025 03:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MouseComputer Z890-Pls |
| Motherboard | MouseComputer Z890-Pls |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265F |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9440
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
17327
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
8701
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17820
288.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27369
443.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16058
261.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
121941
142.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
382826
446.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
112212
131.4 IPS |
|
|
Object Detection (SP)
|
100% |
11225
890.4 IPS |
|
|
Object Detection (HP)
|
100% |
21164
1.68 KIPS |
|
|
Object Detection (Q)
|
83% |
9810
792.6 IPS |
|
|
Face Detection (SP)
|
100% |
30448
361.8 IPS |
|
|
Face Detection (HP)
|
100% |
38562
458.2 IPS |
|
|
Face Detection (Q)
|
97% |
23144
276.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
51123
393.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
103612
798.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
42753
341.2 IPS |
|
|
Style Transfer (SP)
|
100% |
164089
210.9 IPS |
|
|
Style Transfer (HP)
|
100% |
532293
684.3 IPS |
|
|
Style Transfer (Q)
|
98% |
143420
184.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30871
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56239
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24096
892.2 IPS |
|
|
Text Classification (SP)
|
100% |
3353
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2113
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4439
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5953
102.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1976
37.1 IPS |
