Galaxy Microsystems Ltd. GALAX Z890 BOOMSTAR D5 WiFi
Geekbench AI Score
23452
Single Precision Score
43100
Half Precision Score
18021
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 01:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Galaxy Microsystems Ltd. GALAX Z890 BOOMSTAR D5 WiFi |
| Motherboard | Galaxy Microsystems Ltd. GALAX Z890 BOOMSTAR D5 WiFi |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10111
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
18657
3.47 KIPS |
|
|
Image Classification (Q)
|
100% |
9246
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15877
257.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22742
368.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14533
236.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
124372
145.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
390023
455.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
115963
135.8 IPS |
|
|
Object Detection (SP)
|
100% |
12040
955.0 IPS |
|
|
Object Detection (HP)
|
100% |
21879
1.74 KIPS |
|
|
Object Detection (Q)
|
83% |
10216
825.4 IPS |
|
|
Face Detection (SP)
|
100% |
29667
352.5 IPS |
|
|
Face Detection (HP)
|
100% |
46496
552.5 IPS |
|
|
Face Detection (Q)
|
97% |
25807
307.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
56123
432.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
115894
892.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
44899
358.4 IPS |
|
|
Style Transfer (SP)
|
100% |
175544
225.7 IPS |
|
|
Style Transfer (HP)
|
100% |
602607
774.7 IPS |
|
|
Style Transfer (Q)
|
98% |
152933
197.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34110
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66829
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26162
968.8 IPS |
|
|
Text Classification (SP)
|
100% |
4071
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
5122
6.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2468
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5160
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5497
94.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1984
37.2 IPS |
