ASUS System Product Name
Geekbench AI Score
36022
Single Precision Score
49000
Half Precision Score
26788
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | tphillips63 |
| Upload Date | October 29 2024 08:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-BTF WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13424
2.50 KIPS |
|
|
Image Classification (HP)
|
99% |
17760
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
11223
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20309
329.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24545
397.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18718
304.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
305388
356.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
509001
593.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
269840
316.0 IPS |
|
|
Object Detection (SP)
|
100% |
17550
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
22602
1.79 KIPS |
|
|
Object Detection (Q)
|
89% |
14154
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
46577
553.4 IPS |
|
|
Face Detection (HP)
|
100% |
55571
660.3 IPS |
|
|
Face Detection (Q)
|
97% |
38875
463.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
91817
707.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
155643
1.20 KIPS |
|
|
Depth Estimation (Q)
|
75% |
64169
517.6 IPS |
|
|
Style Transfer (SP)
|
100% |
556636
715.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1072727
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
476193
614.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59313
2.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79086
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43794
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
4595
6.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2203
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4820
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4719
81.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2070
46.2 IPS |
