System manufacturer System Product Name
Geekbench AI Score
12515
Single Precision Score
21444
Half Precision Score
8752
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450M-A |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5152
958.1 IPS |
|
|
Image Classification (HP)
|
100% |
8967
1.67 KIPS |
|
|
Image Classification (Q)
|
99% |
4070
759.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
9150
148.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13063
211.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7358
119.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56359
65.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
194397
226.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
47442
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
6260
496.5 IPS |
|
|
Object Detection (HP)
|
100% |
10713
849.8 IPS |
|
|
Object Detection (Q)
|
84% |
4846
390.9 IPS |
|
|
Face Detection (SP)
|
100% |
16008
190.2 IPS |
|
|
Face Detection (HP)
|
100% |
25248
300.0 IPS |
|
|
Face Detection (Q)
|
97% |
12849
153.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
31818
245.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
58824
453.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
22059
176.5 IPS |
|
|
Style Transfer (SP)
|
100% |
102871
132.2 IPS |
|
|
Style Transfer (HP)
|
100% |
243441
312.9 IPS |
|
|
Style Transfer (Q)
|
98% |
85808
110.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18247
673.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27909
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11179
413.9 IPS |
|
|
Text Classification (SP)
|
100% |
1758
2.35 KIPS |
|
|
Text Classification (HP)
|
99% |
2461
3.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1061
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1329
24.9 IPS |
