Default string Default string
Geekbench AI Score
31829
Single Precision Score
35096
Half Precision Score
23557
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | amiltonfcjunior |
| Upload Date | November 20 2025 03:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| 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% |
13476
2.51 KIPS |
|
|
Image Classification (HP)
|
100% |
13462
2.50 KIPS |
|
|
Image Classification (Q)
|
99% |
10646
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21816
353.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17717
287.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17634
286.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
209407
244.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
313593
365.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
166496
195.1 IPS |
|
|
Object Detection (SP)
|
100% |
13921
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
14957
1.19 KIPS |
|
|
Object Detection (Q)
|
87% |
11521
925.3 IPS |
|
|
Face Detection (SP)
|
100% |
40636
482.8 IPS |
|
|
Face Detection (HP)
|
100% |
44602
530.0 IPS |
|
|
Face Detection (Q)
|
97% |
32326
385.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
73150
563.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78512
604.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
54838
440.3 IPS |
|
|
Style Transfer (SP)
|
100% |
371656
477.8 IPS |
|
|
Style Transfer (HP)
|
100% |
487326
626.5 IPS |
|
|
Style Transfer (Q)
|
98% |
293945
379.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43007
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51276
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30939
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
4435
5.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4725
6.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2844
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5910
101.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6130
105.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3188
59.8 IPS |
