ASUS System Product Name
Geekbench AI Score
31259
Single Precision Score
45613
Half Precision Score
23709
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | mikenicolai |
| Upload Date | September 03 2024 05:25 AM |
| Views | 15 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12356
2.30 KIPS |
|
|
Image Classification (HP)
|
99% |
17369
3.24 KIPS |
|
|
Image Classification (Q)
|
100% |
10583
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18332
297.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22572
365.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16996
276.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
254162
296.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
472886
551.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
221164
259.0 IPS |
|
|
Object Detection (SP)
|
100% |
15249
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
21580
1.71 KIPS |
|
|
Object Detection (Q)
|
89% |
13350
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
39325
467.3 IPS |
|
|
Face Detection (HP)
|
100% |
49234
585.0 IPS |
|
|
Face Detection (Q)
|
97% |
33061
394.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
73177
563.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
145215
1.12 KIPS |
|
|
Depth Estimation (Q)
|
70% |
53302
446.5 IPS |
|
|
Style Transfer (SP)
|
100% |
368379
473.6 IPS |
|
|
Style Transfer (HP)
|
100% |
858059
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
323506
417.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53473
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72318
2.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40172
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3859
5.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4801
6.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2320
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4639
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4575
78.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1989
44.4 IPS |
