System manufacturer System Product Name
Geekbench AI Score
16463
Single Precision Score
25232
Half Precision Score
10986
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Brock_Suire |
| Upload Date | September 04 2025 01:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7243
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
9853
1.83 KIPS |
|
|
Image Classification (Q)
|
99% |
4990
930.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9884
160.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12511
202.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7881
128.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
92061
107.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
270040
315.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
74514
87.4 IPS |
|
|
Object Detection (SP)
|
100% |
8733
692.7 IPS |
|
|
Object Detection (HP)
|
100% |
12196
967.4 IPS |
|
|
Object Detection (Q)
|
86% |
6369
512.2 IPS |
|
|
Face Detection (SP)
|
100% |
20026
238.0 IPS |
|
|
Face Detection (HP)
|
100% |
27191
323.1 IPS |
|
|
Face Detection (Q)
|
97% |
14674
175.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44852
345.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
73681
567.7 IPS |
|
|
Depth Estimation (Q)
|
74% |
29209
237.1 IPS |
|
|
Style Transfer (SP)
|
100% |
183578
236.0 IPS |
|
|
Style Transfer (HP)
|
100% |
391534
503.3 IPS |
|
|
Style Transfer (Q)
|
98% |
138816
179.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28237
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38767
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16190
599.5 IPS |
|
|
Text Classification (SP)
|
100% |
1867
2.49 KIPS |
|
|
Text Classification (HP)
|
99% |
2877
3.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1111
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2924
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2945
50.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1283
24.1 IPS |
