ASUS System Product Name
Geekbench AI Score
5849
Single Precision Score
5757
Half Precision Score
14331
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | April 18 2025 06:17 PM |
| Views | 3 |
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. 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% |
3642
677.3 IPS |
|
|
Image Classification (HP)
|
100% |
3764
700.0 IPS |
|
|
Image Classification (Q)
|
100% |
9490
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5071
82.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4966
80.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10346
167.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8285
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
7972
9.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
29779
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
2940
233.2 IPS |
|
|
Object Detection (HP)
|
100% |
2967
235.4 IPS |
|
|
Object Detection (Q)
|
88% |
10056
806.1 IPS |
|
|
Face Detection (SP)
|
100% |
10213
121.3 IPS |
|
|
Face Detection (HP)
|
100% |
10037
119.3 IPS |
|
|
Face Detection (Q)
|
100% |
22912
272.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8816
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8536
65.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
26940
209.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25361
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25138
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
85714
110.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4693
173.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4738
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16619
615.5 IPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (Q)
|
92% |
5295
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3058
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2799
48.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2671
46.0 IPS |
