ASUS System Product Name
Geekbench AI Score
6904
Single Precision Score
6841
Half Precision Score
16100
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | turixant |
| Upload Date | December 14 2025 08:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4191
779.5 IPS |
|
|
Image Classification (HP)
|
100% |
4113
765.0 IPS |
|
|
Image Classification (Q)
|
100% |
10305
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5784
93.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5472
88.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11714
189.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10294
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9752
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
35296
41.3 IPS |
|
|
Object Detection (SP)
|
100% |
3839
304.5 IPS |
|
|
Object Detection (HP)
|
100% |
3844
304.9 IPS |
|
|
Object Detection (Q)
|
88% |
11093
889.2 IPS |
|
|
Face Detection (SP)
|
100% |
12385
147.2 IPS |
|
|
Face Detection (HP)
|
100% |
12359
146.8 IPS |
|
|
Face Detection (Q)
|
100% |
26121
310.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11160
86.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11154
85.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
30574
237.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30287
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30633
39.4 IPS |
|
|
Style Transfer (Q)
|
98% |
95245
122.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5519
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5570
205.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17484
647.5 IPS |
|
|
Text Classification (SP)
|
100% |
3349
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (Q)
|
92% |
5492
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3433
59.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3391
58.4 IPS |
