System manufacturer System Product Name
Geekbench AI Score
24560
Single Precision Score
35650
Half Precision Score
15074
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | neo9922 |
| Upload Date | March 16 2025 06:54 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-F GAMING |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9542
1.77 KIPS |
|
|
Image Classification (HP)
|
99% |
13059
2.44 KIPS |
|
|
Image Classification (Q)
|
100% |
6500
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15567
252.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18637
302.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11435
185.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
173248
202.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
358536
418.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
129954
152.3 IPS |
|
|
Object Detection (SP)
|
100% |
12237
970.6 IPS |
|
|
Object Detection (HP)
|
100% |
16724
1.33 KIPS |
|
|
Object Detection (Q)
|
85% |
8311
668.6 IPS |
|
|
Face Detection (SP)
|
100% |
32266
383.4 IPS |
|
|
Face Detection (HP)
|
100% |
44600
529.9 IPS |
|
|
Face Detection (Q)
|
97% |
21675
258.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
64190
494.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105317
811.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
37670
301.7 IPS |
|
|
Style Transfer (SP)
|
100% |
267784
344.2 IPS |
|
|
Style Transfer (HP)
|
100% |
623816
801.9 IPS |
|
|
Style Transfer (Q)
|
98% |
193355
249.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38738
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54079
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21902
811.0 IPS |
|
|
Text Classification (SP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
3442
4.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1431
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4245
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4166
71.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1525
28.6 IPS |
