System manufacturer System Product Name
Geekbench AI Score
21859
Single Precision Score
32454
Half Precision Score
13041
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ioscarhunter |
| Upload Date | August 22 2024 02:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8472
1.58 KIPS |
|
|
Image Classification (HP)
|
99% |
11751
2.19 KIPS |
|
|
Image Classification (Q)
|
100% |
5458
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13698
222.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19601
317.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10129
164.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
168089
196.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
328207
383.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
124464
145.7 IPS |
|
|
Object Detection (SP)
|
100% |
10657
845.3 IPS |
|
|
Object Detection (HP)
|
100% |
14845
1.18 KIPS |
|
|
Object Detection (Q)
|
89% |
7162
573.4 IPS |
|
|
Face Detection (SP)
|
100% |
27379
325.3 IPS |
|
|
Face Detection (HP)
|
100% |
38009
451.6 IPS |
|
|
Face Detection (Q)
|
97% |
17734
211.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
53122
409.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94435
727.6 IPS |
|
|
Depth Estimation (Q)
|
69% |
29517
250.0 IPS |
|
|
Style Transfer (SP)
|
100% |
255376
328.3 IPS |
|
|
Style Transfer (HP)
|
100% |
564361
725.5 IPS |
|
|
Style Transfer (Q)
|
98% |
179584
231.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34960
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46864
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19630
726.9 IPS |
|
|
Text Classification (SP)
|
100% |
2577
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
3338
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1333
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3646
62.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1174
26.2 IPS |
