B650D4U-2L2T/BCM
Geekbench AI Score
37189
Single Precision Score
52289
Half Precision Score
32270
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 12 2025 04:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | B650D4U-2L2T/BCM |
| Motherboard | ASRockRack B650D4U-2L2T/BCM |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17201
3.20 KIPS |
|
|
Image Classification (HP)
|
100% |
19599
3.64 KIPS |
|
|
Image Classification (Q)
|
99% |
16347
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19930
323.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23218
376.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
25396
413.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
222261
259.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
698616
815.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
204097
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
16103
1.28 KIPS |
|
|
Object Detection (HP)
|
99% |
21851
1.73 KIPS |
|
|
Object Detection (Q)
|
87% |
14783
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
56204
667.8 IPS |
|
|
Face Detection (HP)
|
100% |
61594
731.9 IPS |
|
|
Face Detection (Q)
|
97% |
50014
596.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
89611
690.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
133428
1.03 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75509
605.1 IPS |
|
|
Style Transfer (SP)
|
100% |
421726
542.1 IPS |
|
|
Style Transfer (HP)
|
100% |
756497
972.5 IPS |
|
|
Style Transfer (Q)
|
98% |
385518
497.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55893
2.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89299
3.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45416
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
5071
6.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
97% |
3545
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6852
118.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7082
122.0 IPS |
|
|
Machine Translation (Q)
|
70% |
4171
78.2 IPS |
