X570M Pro4
Geekbench AI Score
31153
Single Precision Score
52900
Half Precision Score
22744
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 11:03 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570M Pro4 |
| Motherboard | ASRock X570M Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12822
2.38 KIPS |
|
|
Image Classification (HP)
|
100% |
16430
3.06 KIPS |
|
|
Image Classification (Q)
|
100% |
5224
971.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
17486
283.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
30081
487.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21159
344.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
178385
208.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
690822
806.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
159299
186.6 IPS |
|
|
Object Detection (SP)
|
100% |
16609
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
25904
2.05 KIPS |
|
|
Object Detection (Q)
|
86% |
13845
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
50018
594.3 IPS |
|
|
Face Detection (HP)
|
100% |
71410
848.5 IPS |
|
|
Face Detection (Q)
|
97% |
41123
490.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
85319
657.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
149445
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64791
517.4 IPS |
|
|
Style Transfer (SP)
|
100% |
315018
405.0 IPS |
|
|
Style Transfer (HP)
|
100% |
981774
1.26 KIPS |
|
|
Style Transfer (Q)
|
98% |
261988
337.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45904
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73433
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35192
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2122
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
6366
109.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6306
108.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2915
54.7 IPS |
