Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7
Geekbench AI Score
28210
Single Precision Score
49047
Half Precision Score
21887
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | flukexshadow |
| Upload Date | July 14 2025 09:46 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10546
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
18723
3.48 KIPS |
|
|
Image Classification (Q)
|
100% |
9571
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22367
362.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
34383
557.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20196
328.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
167021
194.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
476075
555.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
145313
170.2 IPS |
|
|
Object Detection (SP)
|
100% |
14497
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
23817
1.89 KIPS |
|
|
Object Detection (Q)
|
83% |
12162
982.6 IPS |
|
|
Face Detection (SP)
|
100% |
41088
488.2 IPS |
|
|
Face Detection (HP)
|
100% |
60580
719.8 IPS |
|
|
Face Detection (Q)
|
97% |
34907
416.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
67231
518.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
120452
928.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
53486
426.9 IPS |
|
|
Style Transfer (SP)
|
100% |
229910
295.6 IPS |
|
|
Style Transfer (HP)
|
100% |
755264
970.9 IPS |
|
|
Style Transfer (Q)
|
98% |
199776
257.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39147
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70725
2.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31406
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4399
5.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2153
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
6323
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6437
110.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2929
54.9 IPS |
