ASUS System Product Name
Geekbench AI Score
29774
Single Precision Score
33241
Half Precision Score
23041
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 18 2025 02:45 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660M-PLUS D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12645
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
13179
2.45 KIPS |
|
|
Image Classification (Q)
|
99% |
10497
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18431
298.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16893
273.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16635
270.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
233587
272.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
347692
405.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
217331
254.6 IPS |
|
|
Object Detection (SP)
|
100% |
14555
1.15 KIPS |
|
|
Object Detection (HP)
|
99% |
16144
1.28 KIPS |
|
|
Object Detection (Q)
|
87% |
12813
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
39862
473.6 IPS |
|
|
Face Detection (HP)
|
100% |
42209
501.5 IPS |
|
|
Face Detection (Q)
|
97% |
35498
423.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
67544
520.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
81088
624.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
52576
421.3 IPS |
|
|
Style Transfer (SP)
|
100% |
417281
536.4 IPS |
|
|
Style Transfer (HP)
|
100% |
583679
750.3 IPS |
|
|
Style Transfer (Q)
|
98% |
369640
476.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46828
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53285
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33156
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1948
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3691
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1947
36.5 IPS |
