Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7
Geekbench AI Score
28303
Single Precision Score
49506
Half Precision Score
22260
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 05:55 AM |
| Views | 2 |
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. X870 EAGLE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10880
2.02 KIPS |
|
|
Image Classification (HP)
|
100% |
18002
3.35 KIPS |
|
|
Image Classification (Q)
|
100% |
9970
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19679
319.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
28799
466.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18657
303.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
168577
196.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
491749
573.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
145213
170.1 IPS |
|
|
Object Detection (SP)
|
100% |
15471
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
26302
2.09 KIPS |
|
|
Object Detection (Q)
|
83% |
13088
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
41547
493.7 IPS |
|
|
Face Detection (HP)
|
100% |
62358
740.9 IPS |
|
|
Face Detection (Q)
|
97% |
35363
421.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
70351
542.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
137378
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55284
441.3 IPS |
|
|
Style Transfer (SP)
|
100% |
236069
303.5 IPS |
|
|
Style Transfer (HP)
|
100% |
803498
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
201312
259.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41410
1.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74800
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33326
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4249
5.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2233
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5962
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6028
103.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2885
54.1 IPS |
