251006 MBG-Felix (5070) Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
29469
Single Precision Score
52159
Half Precision Score
22759
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | October 06 2025 09:18 AM |
| Views | 8 |
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 Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11408
2.12 KIPS |
|
|
Image Classification (HP)
|
100% |
19528
3.63 KIPS |
|
|
Image Classification (Q)
|
100% |
10313
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23233
376.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
35870
581.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20848
339.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
170305
198.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
501871
585.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
146607
171.7 IPS |
|
|
Object Detection (SP)
|
100% |
14998
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
25142
1.99 KIPS |
|
|
Object Detection (Q)
|
83% |
12734
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
41490
493.0 IPS |
|
|
Face Detection (HP)
|
100% |
62065
737.5 IPS |
|
|
Face Detection (Q)
|
97% |
35007
417.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
68934
531.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
134863
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54903
438.2 IPS |
|
|
Style Transfer (SP)
|
100% |
235509
302.8 IPS |
|
|
Style Transfer (HP)
|
100% |
801701
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
202499
261.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40764
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74552
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33136
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
4898
6.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2397
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6635
114.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6882
118.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3005
56.4 IPS |
