ASUS System Product Name
Geekbench AI Score
7443
Single Precision Score
2944
Half Precision Score
14269
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | OneOf18Angels |
| Upload Date | November 12 2025 08:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B850-F GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7174
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
1054
196.0 IPS |
|
|
Image Classification (Q)
|
99% |
14491
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17021
276.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12571
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9682
11.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
49806
58.4 IPS |
|
|
Object Detection (SP)
|
100% |
7009
556.0 IPS |
|
|
Object Detection (HP)
|
100% |
1319
104.6 IPS |
|
|
Object Detection (Q)
|
86% |
15409
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
11419
135.7 IPS |
|
|
Face Detection (HP)
|
100% |
2809
33.4 IPS |
|
|
Face Detection (Q)
|
97% |
15079
179.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14845
114.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3997
30.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
29842
238.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26347
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21289
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
38927
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4916
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4208
155.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7310
270.7 IPS |
|
|
Text Classification (SP)
|
100% |
3476
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2472
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4750
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5841
117.4 IPS |
