System manufacturer System Product Name
Geekbench AI Score
31666
Single Precision Score
53317
Half Precision Score
24208
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 05:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13003
2.42 KIPS |
|
|
Image Classification (HP)
|
100% |
19490
3.62 KIPS |
|
|
Image Classification (Q)
|
100% |
11499
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23137
375.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
33069
536.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20617
335.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
168229
196.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
645381
753.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
151510
177.5 IPS |
|
|
Object Detection (SP)
|
100% |
16422
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
26031
2.06 KIPS |
|
|
Object Detection (Q)
|
86% |
13770
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
48624
577.8 IPS |
|
|
Face Detection (HP)
|
100% |
68225
810.7 IPS |
|
|
Face Detection (Q)
|
97% |
40104
478.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
84159
648.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
135862
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63068
503.6 IPS |
|
|
Style Transfer (SP)
|
100% |
307494
395.3 IPS |
|
|
Style Transfer (HP)
|
100% |
973298
1.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
258108
332.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44255
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70615
2.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33941
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3448
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4267
5.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2170
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
6354
109.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6307
108.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2907
54.5 IPS |
