ASUS System Product Name
Geekbench AI Score
33749
Single Precision Score
49008
Half Precision Score
26323
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | January 14 2025 05:17 AM |
| Views | 5 |
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% |
13581
2.53 KIPS |
|
|
Image Classification (HP)
|
99% |
19113
3.56 KIPS |
|
|
Image Classification (Q)
|
100% |
11766
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20062
325.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24577
398.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18397
299.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
256394
299.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
505533
589.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
239550
280.7 IPS |
|
|
Object Detection (SP)
|
100% |
16585
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
23191
1.84 KIPS |
|
|
Object Detection (Q)
|
85% |
14361
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
44534
529.2 IPS |
|
|
Face Detection (HP)
|
100% |
56621
672.8 IPS |
|
|
Face Detection (Q)
|
97% |
39473
470.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
80273
618.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
155211
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60834
485.8 IPS |
|
|
Style Transfer (SP)
|
100% |
409604
526.6 IPS |
|
|
Style Transfer (HP)
|
100% |
899773
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
354025
456.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56401
2.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75055
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42483
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3926
5.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4849
6.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2325
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5104
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5043
86.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2555
47.9 IPS |
