250724 MBG-Felix (265KF/5060ti) Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
22173
Single Precision Score
42073
Half Precision Score
17125
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | July 24 2025 03:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AERO G |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8910
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
17524
3.26 KIPS |
|
|
Image Classification (Q)
|
100% |
8383
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17477
283.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
27114
439.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15696
255.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
117836
137.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
373823
436.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
109316
128.0 IPS |
|
|
Object Detection (SP)
|
100% |
11099
880.4 IPS |
|
|
Object Detection (HP)
|
100% |
21325
1.69 KIPS |
|
|
Object Detection (Q)
|
83% |
9535
770.4 IPS |
|
|
Face Detection (SP)
|
100% |
29885
355.1 IPS |
|
|
Face Detection (HP)
|
100% |
49233
585.0 IPS |
|
|
Face Detection (Q)
|
97% |
25963
309.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
51980
400.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104190
802.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
41984
335.1 IPS |
|
|
Style Transfer (SP)
|
100% |
165760
213.1 IPS |
|
|
Style Transfer (HP)
|
100% |
558394
717.8 IPS |
|
|
Style Transfer (Q)
|
98% |
143565
185.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32178
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62192
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24013
889.2 IPS |
|
|
Text Classification (SP)
|
100% |
3330
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4433
5.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2094
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5113
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5811
100.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2011
37.7 IPS |
