ASUS System Product Name
Geekbench AI Score
33071
Single Precision Score
46868
Half Precision Score
25777
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | i0ntempest |
| Upload Date | July 15 2025 05:17 PM |
| 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. ProArt Z790-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12595
2.34 KIPS |
|
|
Image Classification (HP)
|
99% |
17016
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
10948
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20355
330.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
25234
409.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18524
301.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
262693
306.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
487445
568.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
231239
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
15830
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
21334
1.69 KIPS |
|
|
Object Detection (Q)
|
85% |
13594
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
44880
533.3 IPS |
|
|
Face Detection (HP)
|
100% |
56843
675.4 IPS |
|
|
Face Detection (Q)
|
97% |
38445
458.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
82693
637.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
148045
1.14 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63867
510.0 IPS |
|
|
Style Transfer (SP)
|
100% |
391816
503.7 IPS |
|
|
Style Transfer (HP)
|
100% |
826427
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
344692
444.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53908
1.99 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72825
2.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41289
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4540
6.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2299
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5084
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4982
85.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2529
47.4 IPS |
