ASUS System Product Name
Geekbench AI Score
15170
Single Precision Score
15051
Half Precision Score
33076
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 07 2025 06:44 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% |
7724
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7641
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
15990
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9144
148.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9694
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18063
292.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
34343
40.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
35062
40.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
136861
160.2 IPS |
|
|
Object Detection (SP)
|
100% |
8481
672.7 IPS |
|
|
Object Detection (HP)
|
100% |
8126
644.5 IPS |
|
|
Object Detection (Q)
|
88% |
19178
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
20360
241.9 IPS |
|
|
Face Detection (HP)
|
100% |
18864
224.1 IPS |
|
|
Face Detection (Q)
|
100% |
50671
602.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26882
207.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25951
199.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
68429
532.4 IPS |
|
|
Style Transfer (SP)
|
100% |
89810
115.5 IPS |
|
|
Style Transfer (HP)
|
100% |
88807
114.2 IPS |
|
|
Style Transfer (Q)
|
98% |
316362
407.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16189
597.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16029
591.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41204
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5441
7.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5445
7.27 KIPS |
|
|
Text Classification (Q)
|
92% |
6252
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
7250
124.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7454
128.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7316
126.0 IPS |
