ASUS System Product Name
Geekbench AI Score
42580
Single Precision Score
61750
Half Precision Score
31843
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | April 05 2025 09:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO EVA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16456
3.06 KIPS |
|
|
Image Classification (HP)
|
100% |
20950
3.90 KIPS |
|
|
Image Classification (Q)
|
100% |
14045
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25819
418.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
30900
500.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
24466
397.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
370264
432.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
867552
1.01 KIPS |
|
|
Pose Estimation (Q)
|
96% |
288712
338.2 IPS |
|
|
Object Detection (SP)
|
100% |
21606
1.71 KIPS |
|
|
Object Detection (HP)
|
100% |
27399
2.17 KIPS |
|
|
Object Detection (Q)
|
85% |
17999
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
56227
668.1 IPS |
|
|
Face Detection (HP)
|
100% |
71101
844.8 IPS |
|
|
Face Detection (Q)
|
97% |
47601
567.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
105495
812.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
182787
1.41 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75769
606.9 IPS |
|
|
Style Transfer (SP)
|
100% |
588724
756.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1544032
1.98 KIPS |
|
|
Style Transfer (Q)
|
98% |
492667
635.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
70942
2.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92742
3.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50821
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
4102
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4949
6.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2434
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5672
97.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5688
98.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2731
51.2 IPS |
