System manufacturer System Product Name
Geekbench AI Score
24251
Single Precision Score
32591
Half Precision Score
18546
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Hampi |
| Upload Date | November 18 2024 11:09 PM |
| Views | 8 |
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% |
7569
1.41 KIPS |
|
|
Image Classification (HP)
|
99% |
12526
2.34 KIPS |
|
|
Image Classification (Q)
|
100% |
7185
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11572
187.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12810
207.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10656
173.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
229108
267.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
396293
462.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
207483
243.0 IPS |
|
|
Object Detection (SP)
|
100% |
12019
953.3 IPS |
|
|
Object Detection (HP)
|
100% |
13214
1.05 KIPS |
|
|
Object Detection (Q)
|
89% |
9077
726.7 IPS |
|
|
Face Detection (SP)
|
100% |
26701
317.3 IPS |
|
|
Face Detection (HP)
|
100% |
31929
379.4 IPS |
|
|
Face Detection (Q)
|
97% |
23999
286.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
65765
506.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112332
867.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
50004
402.8 IPS |
|
|
Style Transfer (SP)
|
100% |
346785
445.8 IPS |
|
|
Style Transfer (HP)
|
100% |
665758
855.8 IPS |
|
|
Style Transfer (Q)
|
98% |
316861
408.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45727
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54194
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31641
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4025
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1814
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1530
34.1 IPS |
