ASUS System Product Name
Geekbench AI Score
4030
Single Precision Score
1727
Half Precision Score
9189
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ABAlmatrafi |
| Upload Date | April 20 2026 03:19 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650-PLUS |
| 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% |
3054
567.9 IPS |
|
|
Image Classification (HP)
|
100% |
624
116.0 IPS |
|
|
Image Classification (Q)
|
99% |
7935
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9566
155.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5537
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
4625
5.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
23827
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2609
207.0 IPS |
|
|
Object Detection (HP)
|
100% |
774
61.4 IPS |
|
|
Object Detection (Q)
|
86% |
8501
683.2 IPS |
|
|
Face Detection (SP)
|
100% |
8685
103.2 IPS |
|
|
Face Detection (HP)
|
100% |
1889
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
11033
131.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7052
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2564
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
19734
157.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15362
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12074
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30049
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2387
88.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6382
236.3 IPS |
|
|
Text Classification (SP)
|
100% |
1855
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1807
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3233
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3703
74.4 IPS |
