ASUS System Product Name
Geekbench AI Score
6090
Single Precision Score
6114
Half Precision Score
14801
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | vschleper |
| Upload Date | February 28 2025 04:23 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 EXTREME |
| Power Plan | Balanced |
| 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% |
3721
692.0 IPS |
|
|
Image Classification (HP)
|
100% |
3882
722.0 IPS |
|
|
Image Classification (Q)
|
100% |
9259
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5057
82.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5059
82.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10244
166.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9763
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9753
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
32220
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
3225
255.8 IPS |
|
|
Object Detection (HP)
|
100% |
3255
258.2 IPS |
|
|
Object Detection (Q)
|
88% |
10040
804.8 IPS |
|
|
Face Detection (SP)
|
100% |
10595
125.9 IPS |
|
|
Face Detection (HP)
|
100% |
10600
125.9 IPS |
|
|
Face Detection (Q)
|
100% |
23065
274.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9731
75.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9757
75.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
26772
208.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27673
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27084
34.8 IPS |
|
|
Style Transfer (Q)
|
98% |
90461
116.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5086
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5127
189.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17222
637.8 IPS |
|
|
Text Classification (SP)
|
100% |
2852
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2852
3.81 KIPS |
|
|
Text Classification (Q)
|
92% |
5870
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2862
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2861
49.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2914
50.2 IPS |
