ASUS System Product Name
Geekbench AI Score
26049
Single Precision Score
31701
Half Precision Score
20219
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | summer0606 |
| Upload Date | April 27 2025 04:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P WIFI |
| 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% |
9136
1.70 KIPS |
|
|
Image Classification (HP)
|
100% |
11985
2.23 KIPS |
|
|
Image Classification (Q)
|
99% |
7877
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20259
328.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16571
268.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17891
290.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
169719
198.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
302859
353.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
146421
171.5 IPS |
|
|
Object Detection (SP)
|
100% |
10937
867.5 IPS |
|
|
Object Detection (HP)
|
99% |
13020
1.03 KIPS |
|
|
Object Detection (Q)
|
87% |
9658
775.7 IPS |
|
|
Face Detection (SP)
|
100% |
40755
484.3 IPS |
|
|
Face Detection (HP)
|
100% |
44658
530.6 IPS |
|
|
Face Detection (Q)
|
97% |
35165
419.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
60912
469.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77196
594.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
47111
377.5 IPS |
|
|
Style Transfer (SP)
|
100% |
317203
407.8 IPS |
|
|
Style Transfer (HP)
|
100% |
481188
618.6 IPS |
|
|
Style Transfer (Q)
|
98% |
273868
353.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33680
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48157
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24328
900.8 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3474
4.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2056
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4802
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4717
81.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2525
47.4 IPS |
