System manufacturer System Product Name
Geekbench AI Score
25279
Single Precision Score
33901
Half Precision Score
20016
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Hampi |
| Upload Date | October 10 2024 09:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X299-E GAMING II |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10920X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9810
1.82 KIPS |
|
|
Image Classification (HP)
|
99% |
12405
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
8575
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11644
188.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12900
209.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10991
178.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
236088
275.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
406034
473.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
211230
247.4 IPS |
|
|
Object Detection (SP)
|
100% |
12112
960.7 IPS |
|
|
Object Detection (HP)
|
100% |
15349
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
10174
814.5 IPS |
|
|
Face Detection (SP)
|
100% |
27781
330.1 IPS |
|
|
Face Detection (HP)
|
100% |
31769
377.5 IPS |
|
|
Face Detection (Q)
|
97% |
24488
292.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
68657
529.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
122552
946.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
52775
425.2 IPS |
|
|
Style Transfer (SP)
|
100% |
355245
456.7 IPS |
|
|
Style Transfer (HP)
|
100% |
703904
904.9 IPS |
|
|
Style Transfer (Q)
|
98% |
314162
405.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46067
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59083
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36470
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3326
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
3989
5.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2109
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1632
36.4 IPS |
