ASUS System Product Name
Geekbench AI Score
35090
Single Precision Score
51172
Half Precision Score
30468
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | February 21 2026 08:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS WIFI |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14711
2.74 KIPS |
|
|
Image Classification (HP)
|
100% |
18534
3.45 KIPS |
|
|
Image Classification (Q)
|
99% |
15368
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19105
309.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22494
364.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
24320
395.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
213216
248.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
648624
756.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
193623
226.8 IPS |
|
|
Object Detection (SP)
|
100% |
15026
1.19 KIPS |
|
|
Object Detection (HP)
|
99% |
21297
1.69 KIPS |
|
|
Object Detection (Q)
|
87% |
14328
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
52975
629.5 IPS |
|
|
Face Detection (HP)
|
100% |
65974
783.9 IPS |
|
|
Face Detection (Q)
|
97% |
46762
557.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
87215
671.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
133123
1.03 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71941
576.5 IPS |
|
|
Style Transfer (SP)
|
100% |
394484
507.1 IPS |
|
|
Style Transfer (HP)
|
100% |
739166
950.2 IPS |
|
|
Style Transfer (Q)
|
98% |
353250
455.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53530
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87907
3.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45021
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
4684
6.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5158
6.88 KIPS |
|
|
Text Classification (Q)
|
97% |
3173
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6879
118.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7264
125.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3917
73.5 IPS |
