250724 MBG-Felix (265KF/5070) Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
28684
Single Precision Score
50210
Half Precision Score
22166
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | July 24 2025 03:10 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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% |
10965
2.04 KIPS |
|
|
Image Classification (HP)
|
100% |
19562
3.64 KIPS |
|
|
Image Classification (Q)
|
100% |
9985
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21242
344.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
31721
514.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19303
313.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
167397
195.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
468665
546.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
144030
168.7 IPS |
|
|
Object Detection (SP)
|
100% |
15170
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
25094
1.99 KIPS |
|
|
Object Detection (Q)
|
83% |
12613
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
39939
474.6 IPS |
|
|
Face Detection (HP)
|
100% |
58240
692.0 IPS |
|
|
Face Detection (Q)
|
97% |
34274
408.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
68448
527.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
125011
963.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
54090
431.7 IPS |
|
|
Style Transfer (SP)
|
100% |
229820
295.4 IPS |
|
|
Style Transfer (HP)
|
100% |
757315
973.5 IPS |
|
|
Style Transfer (Q)
|
98% |
193494
249.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41133
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77686
2.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33066
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
4012
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5034
6.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2362
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6149
105.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6472
111.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2920
54.8 IPS |
