ASUS System Product Name
Geekbench AI Score
5387
Single Precision Score
5329
Half Precision Score
7616
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | firecall |
| Upload Date | January 05 2025 05:47 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-10900K CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z490-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3249
604.3 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.3 IPS |
|
|
Image Classification (Q)
|
100% |
5401
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4136
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4230
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5983
97.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7811
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
7811
9.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
16346
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
3299
261.7 IPS |
|
|
Object Detection (HP)
|
100% |
3278
260.0 IPS |
|
|
Object Detection (Q)
|
87% |
5507
441.7 IPS |
|
|
Face Detection (SP)
|
100% |
5594
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
5491
65.2 IPS |
|
|
Face Detection (Q)
|
97% |
14787
176.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9500
73.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9251
71.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
15763
124.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23569
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22597
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
43940
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4378
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4308
159.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8453
313.1 IPS |
|
|
Text Classification (SP)
|
100% |
2897
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (Q)
|
91% |
740
994.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3585
61.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3525
60.7 IPS |
