ASUS System Product Name
Geekbench AI Score
27584
Single Precision Score
47772
Half Precision Score
21506
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 02:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11034
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
18660
3.47 KIPS |
|
|
Image Classification (Q)
|
100% |
9987
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18156
294.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25593
414.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16824
273.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
159932
186.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
469551
547.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
141440
165.7 IPS |
|
|
Object Detection (SP)
|
100% |
15181
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
24940
1.98 KIPS |
|
|
Object Detection (Q)
|
83% |
12529
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
39507
469.4 IPS |
|
|
Face Detection (HP)
|
100% |
58499
695.1 IPS |
|
|
Face Detection (Q)
|
97% |
33352
397.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
69599
536.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
131278
1.01 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54059
431.5 IPS |
|
|
Style Transfer (SP)
|
100% |
228020
293.1 IPS |
|
|
Style Transfer (HP)
|
100% |
768910
988.4 IPS |
|
|
Style Transfer (Q)
|
98% |
197347
254.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41585
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75381
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32150
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4487
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2315
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5431
93.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5543
95.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2685
50.4 IPS |
