System manufacturer System Product Name
Geekbench AI Score
34774
Single Precision Score
47085
Half Precision Score
27095
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 01:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS X299 SAGE II |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12677
2.36 KIPS |
|
|
Image Classification (HP)
|
100% |
14335
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
11088
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18731
303.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21108
342.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17851
290.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
348724
406.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
716195
835.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
294256
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
16380
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
19579
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
14407
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
41557
493.8 IPS |
|
|
Face Detection (HP)
|
100% |
48312
574.0 IPS |
|
|
Face Detection (Q)
|
97% |
35046
417.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
94718
729.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
158579
1.22 KIPS |
|
|
Depth Estimation (Q)
|
77% |
69465
556.4 IPS |
|
|
Style Transfer (SP)
|
100% |
523063
672.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1225037
1.57 KIPS |
|
|
Style Transfer (Q)
|
98% |
449205
579.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59891
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73877
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44599
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
3993
5.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2199
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4453
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4560
78.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2370
44.5 IPS |
