ASRock X670E Steel Legend
Geekbench AI Score
34645
Single Precision Score
57594
Half Precision Score
26552
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ldilov |
| Upload Date | April 07 2025 10:22 AM |
| Views | 11 |
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 | ASRock X670E Steel Legend |
| Motherboard | ASRock X670E Steel Legend |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13754
2.56 KIPS |
|
|
Image Classification (HP)
|
100% |
19522
3.63 KIPS |
|
|
Image Classification (Q)
|
100% |
12421
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24885
403.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
35429
574.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22786
370.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
188991
220.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
712639
831.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
170107
199.3 IPS |
|
|
Object Detection (SP)
|
100% |
17821
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
28547
2.26 KIPS |
|
|
Object Detection (Q)
|
86% |
14940
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
53513
635.8 IPS |
|
|
Face Detection (HP)
|
100% |
73128
868.9 IPS |
|
|
Face Detection (Q)
|
97% |
43872
523.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
95573
736.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
149400
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
70181
560.4 IPS |
|
|
Style Transfer (SP)
|
100% |
355207
456.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1107818
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
296043
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51686
1.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80544
2.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40020
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3510
4.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4412
5.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2349
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6558
113.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6636
114.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2826
53.0 IPS |
