ASUS System Product Name
Geekbench AI Score
15260
Single Precision Score
15570
Half Precision Score
33079
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | March 15 2025 12:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000000719-52_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Balansert |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000000719-52_Y |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6886
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
8489
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
15474
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9756
158.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9009
146.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18914
306.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
34627
40.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34916
40.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
135221
158.3 IPS |
|
|
Object Detection (SP)
|
100% |
8757
694.6 IPS |
|
|
Object Detection (HP)
|
100% |
8958
710.6 IPS |
|
|
Object Detection (Q)
|
88% |
19212
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
19535
232.1 IPS |
|
|
Face Detection (HP)
|
100% |
20328
241.5 IPS |
|
|
Face Detection (Q)
|
100% |
50359
598.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
29960
230.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
28463
219.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
68634
534.0 IPS |
|
|
Style Transfer (SP)
|
100% |
89146
114.6 IPS |
|
|
Style Transfer (HP)
|
100% |
88496
113.8 IPS |
|
|
Style Transfer (Q)
|
98% |
308000
397.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16007
591.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16379
604.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41257
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5277
7.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5450
7.27 KIPS |
|
|
Text Classification (Q)
|
92% |
6289
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
7631
131.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7662
132.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7471
128.7 IPS |
