ASUS System Product Name
Geekbench AI Score
2811
Single Precision Score
4051
Half Precision Score
6366
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 01:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1716
319.1 IPS |
|
|
Image Classification (HP)
|
100% |
2826
525.6 IPS |
|
|
Image Classification (Q)
|
99% |
4308
803.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4140
67.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4974
80.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4521
5.27 IPS |
|
|
Pose Estimation (HP)
|
99% |
3294
3.84 IPS |
|
|
Pose Estimation (Q)
|
97% |
13525
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (HP)
|
98% |
2479
197.3 IPS |
|
|
Object Detection (Q)
|
90% |
4607
368.3 IPS |
|
|
Face Detection (SP)
|
100% |
5268
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
8117
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
11012
130.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5320
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8862
68.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
11986
93.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11716
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18296
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30875
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3410
125.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7067
261.7 IPS |
|
|
Text Classification (SP)
|
71% |
1245
1.80 KIPS |
|
|
Text Classification (HP)
|
71% |
1495
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
1532
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1861
32.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1856
32.0 IPS |
