Default string Default string
Geekbench AI Score
6299
Single Precision Score
2037
Half Precision Score
10371
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | amiltonfcjunior |
| Upload Date | November 20 2025 03:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Maxsun MS-iCraft Z690 |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5132
954.4 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.3 IPS |
|
|
Image Classification (Q)
|
99% |
7855
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13973
227.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12602
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5385
6.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
35797
42.0 IPS |
|
|
Object Detection (SP)
|
100% |
4768
378.2 IPS |
|
|
Object Detection (HP)
|
100% |
935
74.2 IPS |
|
|
Object Detection (Q)
|
86% |
8807
707.8 IPS |
|
|
Face Detection (SP)
|
100% |
14126
167.9 IPS |
|
|
Face Detection (HP)
|
100% |
2166
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
13359
159.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13651
105.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2751
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
20289
161.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27420
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13725
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30328
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4715
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2555
94.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7199
266.6 IPS |
|
|
Text Classification (SP)
|
100% |
1854
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1704
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2828
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4128
82.9 IPS |
