ASUS System Product Name
Geekbench AI Score
14322
Single Precision Score
14308
Half Precision Score
36060
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | NeilB |
| Upload Date | December 14 2025 04:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B850M AYW GAMING OC WIFI7 W |
| Power Plan | Balanced |
| 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% |
9391
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
9385
1.75 KIPS |
|
|
Image Classification (Q)
|
100% |
22421
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9895
160.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9894
160.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26124
423.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18570
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18603
21.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
74172
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
8687
689.1 IPS |
|
|
Object Detection (HP)
|
100% |
8752
694.2 IPS |
|
|
Object Detection (Q)
|
88% |
23991
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
20755
246.6 IPS |
|
|
Face Detection (HP)
|
100% |
20729
246.3 IPS |
|
|
Face Detection (Q)
|
100% |
57118
678.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21818
168.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21729
167.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
67587
526.0 IPS |
|
|
Style Transfer (SP)
|
100% |
50932
65.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52026
66.9 IPS |
|
|
Style Transfer (Q)
|
98% |
188036
242.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11691
431.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11377
420.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33984
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
7150
9.54 KIPS |
|
|
Text Classification (HP)
|
100% |
7179
9.58 KIPS |
|
|
Text Classification (Q)
|
92% |
9421
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
12571
216.5 IPS |
|
|
Machine Translation (HP)
|
100% |
12432
214.1 IPS |
|
|
Machine Translation (Q)
|
100% |
15349
264.4 IPS |
