ASUS System Product Name
Geekbench AI Score
15156
Single Precision Score
15208
Half Precision Score
33285
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | October 26 2024 11:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| 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% |
6878
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7152
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
15938
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8958
145.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9249
149.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19460
315.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
34582
40.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34294
40.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
135998
159.2 IPS |
|
|
Object Detection (SP)
|
100% |
8920
707.6 IPS |
|
|
Object Detection (HP)
|
100% |
9000
713.9 IPS |
|
|
Object Detection (Q)
|
88% |
19665
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
20539
244.0 IPS |
|
|
Face Detection (HP)
|
100% |
20429
242.7 IPS |
|
|
Face Detection (Q)
|
100% |
50926
605.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27112
208.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
27117
208.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
67983
529.0 IPS |
|
|
Style Transfer (SP)
|
100% |
89224
114.7 IPS |
|
|
Style Transfer (HP)
|
100% |
89047
114.5 IPS |
|
|
Style Transfer (Q)
|
98% |
312313
402.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15635
577.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15610
576.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40579
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5572
7.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5406
7.22 KIPS |
|
|
Text Classification (Q)
|
92% |
6250
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
7775
133.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7788
134.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7339
126.4 IPS |
