ASUS System Product Name
Geekbench AI Score
7009
Single Precision Score
7007
Half Precision Score
15368
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 01:14 PM |
| Views | 2 |
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. PRIME Z790-P |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4229
786.4 IPS |
|
|
Image Classification (HP)
|
100% |
4206
782.2 IPS |
|
|
Image Classification (Q)
|
100% |
9079
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5530
89.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5459
88.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10361
168.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8477
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
8663
10.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
31407
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
3978
315.5 IPS |
|
|
Object Detection (HP)
|
100% |
4040
320.4 IPS |
|
|
Object Detection (Q)
|
88% |
9820
787.2 IPS |
|
|
Face Detection (SP)
|
100% |
11969
142.2 IPS |
|
|
Face Detection (HP)
|
100% |
11944
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
23127
274.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10431
80.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10564
81.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
26289
204.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25890
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25559
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
86066
111.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5340
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5253
194.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16668
617.3 IPS |
|
|
Text Classification (SP)
|
100% |
3862
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3811
5.09 KIPS |
|
|
Text Classification (Q)
|
92% |
5333
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5449
93.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5500
94.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5447
93.8 IPS |
