System manufacturer System Product Name
Geekbench AI Score
12109
Single Precision Score
11306
Half Precision Score
8116
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 03:18 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% |
3786
704.1 IPS |
|
|
Image Classification (HP)
|
100% |
4733
880.2 IPS |
|
|
Image Classification (Q)
|
100% |
2955
549.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7681
124.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7524
122.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5928
96.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
92573
108.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
52266
61.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
69458
81.3 IPS |
|
|
Object Detection (SP)
|
100% |
4505
357.4 IPS |
|
|
Object Detection (HP)
|
100% |
6010
476.7 IPS |
|
|
Object Detection (Q)
|
89% |
3466
277.4 IPS |
|
|
Face Detection (SP)
|
100% |
8600
102.2 IPS |
|
|
Face Detection (HP)
|
100% |
11871
141.1 IPS |
|
|
Face Detection (Q)
|
97% |
6569
78.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27848
214.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23561
182.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
19165
154.4 IPS |
|
|
Style Transfer (SP)
|
100% |
157952
203.0 IPS |
|
|
Style Transfer (HP)
|
100% |
79330
102.0 IPS |
|
|
Style Transfer (Q)
|
98% |
111390
143.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25133
928.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18263
674.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13984
517.8 IPS |
|
|
Text Classification (SP)
|
100% |
1803
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1130
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (HP)
|
96% |
3208
55.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1328
29.6 IPS |
