ASUS System Product Name
Geekbench AI Score
33532
Single Precision Score
39075
Half Precision Score
26927
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | EnduroFever |
| Upload Date | June 23 2025 11:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14066
2.62 KIPS |
|
|
Image Classification (HP)
|
100% |
15019
2.79 KIPS |
|
|
Image Classification (Q)
|
99% |
12287
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21267
344.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18819
305.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19350
314.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
273002
318.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
466162
543.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
240507
281.7 IPS |
|
|
Object Detection (SP)
|
100% |
15297
1.21 KIPS |
|
|
Object Detection (HP)
|
99% |
16743
1.33 KIPS |
|
|
Object Detection (Q)
|
87% |
13348
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
44152
524.6 IPS |
|
|
Face Detection (HP)
|
100% |
48920
581.3 IPS |
|
|
Face Detection (Q)
|
97% |
39325
468.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
80853
622.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94201
725.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
65840
527.6 IPS |
|
|
Style Transfer (SP)
|
100% |
434974
559.2 IPS |
|
|
Style Transfer (HP)
|
100% |
653510
840.1 IPS |
|
|
Style Transfer (Q)
|
98% |
381578
492.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47228
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58489
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38005
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4260
5.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4134
5.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2670
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4606
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5166
89.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2619
49.1 IPS |
