ASUS System Product Name
Geekbench AI Score
34266
Single Precision Score
49138
Half Precision Score
26700
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | January 14 2025 06:04 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| 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% |
13644
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
18938
3.53 KIPS |
|
|
Image Classification (Q)
|
100% |
11860
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20163
326.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24770
401.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18619
302.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
272501
318.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
491879
573.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
235452
275.9 IPS |
|
|
Object Detection (SP)
|
100% |
16816
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
23279
1.85 KIPS |
|
|
Object Detection (Q)
|
85% |
14559
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
45455
540.1 IPS |
|
|
Face Detection (HP)
|
100% |
55831
663.4 IPS |
|
|
Face Detection (Q)
|
97% |
39887
475.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
82612
636.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
159366
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63893
510.2 IPS |
|
|
Style Transfer (SP)
|
100% |
402327
517.2 IPS |
|
|
Style Transfer (HP)
|
100% |
907520
1.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
364674
470.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57245
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76286
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42610
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4908
6.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2358
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5139
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5054
87.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2605
48.9 IPS |
