Gigabyte Technology Co., Ltd. Z890 AORUS MASTER
Geekbench AI Score
29246
Single Precision Score
52189
Half Precision Score
22049
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 06:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS MASTER |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11226
2.09 KIPS |
|
|
Image Classification (HP)
|
100% |
20052
3.73 KIPS |
|
|
Image Classification (Q)
|
100% |
8614
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22863
370.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
35160
570.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20444
332.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
168503
196.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
479299
559.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
145576
170.5 IPS |
|
|
Object Detection (SP)
|
100% |
15061
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
25507
2.02 KIPS |
|
|
Object Detection (Q)
|
83% |
11377
919.2 IPS |
|
|
Face Detection (SP)
|
100% |
41639
494.8 IPS |
|
|
Face Detection (HP)
|
100% |
64179
762.6 IPS |
|
|
Face Detection (Q)
|
97% |
36278
432.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
70347
542.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
130634
1.01 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54776
437.2 IPS |
|
|
Style Transfer (SP)
|
100% |
232399
298.8 IPS |
|
|
Style Transfer (HP)
|
100% |
801330
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
200194
258.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40558
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76850
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32507
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3866
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4903
6.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2387
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
6586
113.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6870
118.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3017
56.6 IPS |
