System manufacturer System Product Name
Geekbench AI Score
12180
Single Precision Score
11365
Half Precision Score
8175
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 03:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF X470-PLUS GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3794
705.6 IPS |
|
|
Image Classification (HP)
|
100% |
4786
890.1 IPS |
|
|
Image Classification (Q)
|
100% |
2963
551.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7723
125.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7543
122.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5939
96.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
95720
111.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54411
63.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
71562
83.8 IPS |
|
|
Object Detection (SP)
|
100% |
4494
356.5 IPS |
|
|
Object Detection (HP)
|
100% |
5974
473.9 IPS |
|
|
Object Detection (Q)
|
89% |
3448
276.0 IPS |
|
|
Face Detection (SP)
|
100% |
8557
101.7 IPS |
|
|
Face Detection (HP)
|
100% |
11851
140.8 IPS |
|
|
Face Detection (Q)
|
97% |
6614
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28178
217.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23423
181.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
19223
154.9 IPS |
|
|
Style Transfer (SP)
|
100% |
160306
206.1 IPS |
|
|
Style Transfer (HP)
|
100% |
81275
104.5 IPS |
|
|
Style Transfer (Q)
|
98% |
113525
146.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25382
937.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18231
673.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14007
518.7 IPS |
|
|
Text Classification (SP)
|
100% |
1787
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1140
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3252
56.0 IPS |
|
|
Machine Translation (HP)
|
96% |
3204
55.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1333
29.7 IPS |
