Gigabyte Technology Co., Ltd. MD35466
Geekbench AI Score
30692
Single Precision Score
51420
Half Precision Score
24360
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 06 2025 08:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. MD35466 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
11495
2.14 KIPS |
|
|
Image Classification (HP)
|
100% |
17951
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10865
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22738
368.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
30883
500.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21829
354.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
211382
246.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
615101
717.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
189148
221.6 IPS |
|
|
Object Detection (SP)
|
100% |
15290
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
20805
1.65 KIPS |
|
|
Object Detection (Q)
|
86% |
12011
965.0 IPS |
|
|
Face Detection (SP)
|
100% |
41520
493.4 IPS |
|
|
Face Detection (HP)
|
100% |
63951
759.9 IPS |
|
|
Face Detection (Q)
|
97% |
43049
513.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
79278
610.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
154467
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59387
474.2 IPS |
|
|
Style Transfer (SP)
|
100% |
321001
412.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1018099
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
283490
365.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46836
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80352
2.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38200
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1973
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5216
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5432
93.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2501
46.9 IPS |
