Wortmann_AG 1000903;2110318
Geekbench AI Score
5694
Single Precision Score
1743
Half Precision Score
7287
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kschenk |
| Upload Date | May 08 2025 09:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Wortmann_AG 1000903;2110318 |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P WIFI |
| 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% |
4139
769.7 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.3 IPS |
|
|
Image Classification (Q)
|
99% |
7132
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1103
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3728
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11583
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4957
5.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
34703
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
4353
345.3 IPS |
|
|
Object Detection (HP)
|
100% |
829
65.8 IPS |
|
|
Object Detection (Q)
|
86% |
6859
551.2 IPS |
|
|
Face Detection (SP)
|
100% |
12388
147.2 IPS |
|
|
Face Detection (HP)
|
100% |
1900
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
11473
136.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13175
101.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2285
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
18682
149.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25658
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12714
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
31531
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4024
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2322
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5249
194.4 IPS |
|
|
Text Classification (SP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
539
721.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2428
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3493
70.2 IPS |
