ASUS System Product Name
Geekbench AI Score
14739
Single Precision Score
14954
Half Precision Score
32958
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 17 2025 11:36 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% |
7632
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7197
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
16149
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9038
146.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9269
150.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19580
317.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33865
39.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34454
40.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
135484
158.6 IPS |
|
|
Object Detection (SP)
|
100% |
8291
657.7 IPS |
|
|
Object Detection (HP)
|
100% |
9178
728.0 IPS |
|
|
Object Detection (Q)
|
88% |
18755
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
19364
230.1 IPS |
|
|
Face Detection (HP)
|
100% |
18289
217.3 IPS |
|
|
Face Detection (Q)
|
100% |
49541
588.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
25585
197.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26204
201.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
68698
534.5 IPS |
|
|
Style Transfer (SP)
|
100% |
87488
112.5 IPS |
|
|
Style Transfer (HP)
|
100% |
85770
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
307943
397.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15701
579.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16018
591.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40211
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5323
7.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
92% |
6219
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6898
118.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7251
124.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7182
123.7 IPS |
