ASUS System Product Name
Geekbench AI Score
3916
Single Precision Score
1760
Half Precision Score
9140
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | stickystickler |
| Upload Date | December 19 2025 10:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850-PLUS WIFI |
| Power Plan | High performance |
| 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% |
3801
706.9 IPS |
|
|
Image Classification (HP)
|
100% |
771
143.3 IPS |
|
|
Image Classification (Q)
|
99% |
9073
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11251
182.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7135
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
5820
6.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
26448
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3985
316.1 IPS |
|
|
Object Detection (HP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (Q)
|
86% |
8966
720.6 IPS |
|
|
Face Detection (SP)
|
100% |
6681
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
10183
121.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5972
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2103
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15802
126.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11409
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9976
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29545
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2116
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1897
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5190
192.2 IPS |
|
|
Text Classification (SP)
|
100% |
1107
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1692
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2966
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4027
80.9 IPS |
