ASUS System Product Name
Geekbench AI Score
2689
Single Precision Score
4006
Half Precision Score
6398
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | April 18 2025 06:31 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. TUF GAMING B660M-PLUS D4 |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
2684
499.1 IPS |
|
|
Image Classification (Q)
|
99% |
4274
797.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3909
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4765
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4421
5.16 IPS |
|
|
Pose Estimation (HP)
|
99% |
3247
3.79 IPS |
|
|
Pose Estimation (Q)
|
97% |
13344
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
98% |
2521
200.6 IPS |
|
|
Object Detection (Q)
|
90% |
4685
374.6 IPS |
|
|
Face Detection (SP)
|
100% |
4306
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7588
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
11017
130.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5213
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8668
67.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
11939
92.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11505
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18042
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30712
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2106
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3467
128.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7162
265.2 IPS |
|
|
Text Classification (SP)
|
71% |
1274
1.84 KIPS |
|
|
Text Classification (HP)
|
71% |
1540
2.23 KIPS |
|
|
Text Classification (Q)
|
92% |
1578
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1960
33.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1979
34.1 IPS |
