ALTERNATE GmbH Alternate Custom PC
Geekbench AI Score
46665
Single Precision Score
69084
Half Precision Score
34266
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 10:58 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ALTERNATE GmbH Alternate Custom PC |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-F GAMING WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16710
3.11 KIPS |
|
|
Image Classification (HP)
|
100% |
21864
4.07 KIPS |
|
|
Image Classification (Q)
|
100% |
14355
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
36416
590.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
45663
740.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
32692
531.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
391854
457.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
896953
1.05 KIPS |
|
|
Pose Estimation (Q)
|
96% |
303692
355.7 IPS |
|
|
Object Detection (SP)
|
100% |
22771
1.81 KIPS |
|
|
Object Detection (HP)
|
100% |
29728
2.36 KIPS |
|
|
Object Detection (Q)
|
85% |
19131
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
67837
806.0 IPS |
|
|
Face Detection (HP)
|
100% |
88914
1.06 KIPS |
|
|
Face Detection (Q)
|
97% |
55053
656.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
104942
808.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
186136
1.43 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75745
606.7 IPS |
|
|
Style Transfer (SP)
|
100% |
595689
765.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1686794
2.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
505700
652.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73276
2.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
96762
3.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52049
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
4057
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4908
6.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2440
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
7155
123.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7016
120.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3057
57.3 IPS |
