System manufacturer System Product Name
Geekbench AI Score
22656
Single Precision Score
32168
Half Precision Score
14312
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bstrunk |
| Upload Date | March 15 2025 04:21 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8986
1.67 KIPS |
|
|
Image Classification (HP)
|
99% |
11907
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
6277
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12844
208.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16379
265.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9855
160.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
169334
197.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
339445
396.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
127153
149.0 IPS |
|
|
Object Detection (SP)
|
100% |
11569
917.7 IPS |
|
|
Object Detection (HP)
|
100% |
15249
1.21 KIPS |
|
|
Object Detection (Q)
|
85% |
7958
640.1 IPS |
|
|
Face Detection (SP)
|
100% |
27854
331.0 IPS |
|
|
Face Detection (HP)
|
100% |
36134
429.4 IPS |
|
|
Face Detection (Q)
|
97% |
19455
232.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
62580
482.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99101
763.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
37208
298.0 IPS |
|
|
Style Transfer (SP)
|
100% |
259147
333.1 IPS |
|
|
Style Transfer (HP)
|
100% |
579665
745.2 IPS |
|
|
Style Transfer (Q)
|
98% |
187905
242.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36766
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49736
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21322
789.5 IPS |
|
|
Text Classification (SP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (HP)
|
99% |
3300
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1403
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3450
59.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1416
26.6 IPS |
