Gigabyte Technology Co., Ltd. B860 AORUS ELITE WIFI7 ICE
Geekbench AI Score
25322
Single Precision Score
43895
Half Precision Score
19706
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 09:13 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. B860 AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B860 AORUS ELITE WIFI7 ICE |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10374
1.93 KIPS |
|
|
Image Classification (HP)
|
100% |
18010
3.35 KIPS |
|
|
Image Classification (Q)
|
100% |
9320
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17318
280.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23984
388.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15902
258.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
149794
174.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
426234
497.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
136032
159.5 IPS |
|
|
Object Detection (SP)
|
100% |
13598
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
20870
1.66 KIPS |
|
|
Object Detection (Q)
|
89% |
10267
822.1 IPS |
|
|
Face Detection (SP)
|
100% |
30663
364.3 IPS |
|
|
Face Detection (HP)
|
100% |
43799
520.4 IPS |
|
|
Face Detection (Q)
|
97% |
26904
320.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
63015
485.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
117397
904.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
50570
406.5 IPS |
|
|
Style Transfer (SP)
|
100% |
214696
276.0 IPS |
|
|
Style Transfer (HP)
|
100% |
739553
950.7 IPS |
|
|
Style Transfer (Q)
|
98% |
187629
241.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37810
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71039
2.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32424
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4822
6.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2346
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5101
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5306
91.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2197
49.0 IPS |
