ASUS System Product Name
Geekbench AI Score
35902
Single Precision Score
52888
Half Precision Score
27290
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Ryan5091 |
| Upload Date | July 10 2025 07:48 PM |
| Views | 12 |
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 Z790 DARK HERO |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13818
2.57 KIPS |
|
|
Image Classification (HP)
|
99% |
19784
3.69 KIPS |
|
|
Image Classification (Q)
|
100% |
11946
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23796
385.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
30902
500.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
21540
350.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
262503
306.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
517865
604.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
231321
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
17203
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
24348
1.93 KIPS |
|
|
Object Detection (Q)
|
85% |
14634
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
49985
593.9 IPS |
|
|
Face Detection (HP)
|
100% |
66067
785.0 IPS |
|
|
Face Detection (Q)
|
97% |
42540
507.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
84164
648.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
154653
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63714
508.8 IPS |
|
|
Style Transfer (SP)
|
100% |
396268
509.4 IPS |
|
|
Style Transfer (HP)
|
100% |
885344
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
340452
439.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57770
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79624
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43365
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
4088
5.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5151
6.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2369
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6087
104.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5987
103.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2775
52.0 IPS |
