ASUS System Product Name
Geekbench AI Score
31619
Single Precision Score
46273
Half Precision Score
24338
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 11:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z790-CREATOR WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12928
2.40 KIPS |
|
|
Image Classification (HP)
|
99% |
18662
3.48 KIPS |
|
|
Image Classification (Q)
|
100% |
11057
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18376
297.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22192
359.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16438
267.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
249503
291.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
457316
533.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
221287
259.3 IPS |
|
|
Object Detection (SP)
|
100% |
15684
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
21794
1.73 KIPS |
|
|
Object Detection (Q)
|
85% |
13443
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
41394
491.9 IPS |
|
|
Face Detection (HP)
|
100% |
52280
621.2 IPS |
|
|
Face Detection (Q)
|
97% |
35782
426.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
74951
577.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
148091
1.14 KIPS |
|
|
Depth Estimation (Q)
|
78% |
57360
458.1 IPS |
|
|
Style Transfer (SP)
|
100% |
367950
473.0 IPS |
|
|
Style Transfer (HP)
|
100% |
868540
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
329813
425.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53100
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72869
2.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39335
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3883
5.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4895
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2242
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4566
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4546
78.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2260
42.4 IPS |
