Default string Default string
Geekbench AI Score
11098
Single Precision Score
18071
Half Precision Score
8105
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xcwnya |
| Upload Date | January 08 2025 08:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Default string Default string |
| Motherboard | JGINYUE AM4 TITANIUM |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4710
875.8 IPS |
|
|
Image Classification (HP)
|
100% |
7956
1.48 KIPS |
|
|
Image Classification (Q)
|
99% |
3675
685.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7125
115.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9068
147.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6026
98.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
57075
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
183281
213.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
48911
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
5633
446.8 IPS |
|
|
Object Detection (HP)
|
100% |
9123
723.6 IPS |
|
|
Object Detection (Q)
|
84% |
4454
359.2 IPS |
|
|
Face Detection (SP)
|
100% |
13346
158.6 IPS |
|
|
Face Detection (HP)
|
100% |
18753
222.8 IPS |
|
|
Face Detection (Q)
|
97% |
11081
132.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
30639
236.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
53929
415.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
21590
172.5 IPS |
|
|
Style Transfer (SP)
|
100% |
102970
132.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233458
300.1 IPS |
|
|
Style Transfer (Q)
|
98% |
86062
111.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16900
624.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25587
944.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10881
402.9 IPS |
|
|
Text Classification (SP)
|
100% |
1602
2.14 KIPS |
|
|
Text Classification (HP)
|
99% |
2173
2.90 KIPS |
|
|
Text Classification (Q)
|
97% |
1001
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2305
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2346
40.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1131
21.2 IPS |
