ASUS System Product Name
Geekbench AI Score
15225
Single Precision Score
15540
Half Precision Score
33130
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 07 2025 06:28 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Balansert |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000001277-60_Y |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6999
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
8075
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
15877
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9178
148.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9854
159.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19134
310.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34964
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34908
40.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
138177
161.8 IPS |
|
|
Object Detection (SP)
|
100% |
9051
717.9 IPS |
|
|
Object Detection (HP)
|
100% |
8578
680.4 IPS |
|
|
Object Detection (Q)
|
88% |
18880
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
20951
248.9 IPS |
|
|
Face Detection (HP)
|
100% |
21927
260.5 IPS |
|
|
Face Detection (Q)
|
100% |
49849
592.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27066
208.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
27109
208.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
70179
546.1 IPS |
|
|
Style Transfer (SP)
|
100% |
89769
115.4 IPS |
|
|
Style Transfer (HP)
|
100% |
90105
115.8 IPS |
|
|
Style Transfer (Q)
|
98% |
312800
403.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15698
579.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15808
583.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40187
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5390
7.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5387
7.19 KIPS |
|
|
Text Classification (Q)
|
92% |
6249
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
7648
131.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7562
130.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7316
126.0 IPS |
