ASUS System Product Name
Geekbench AI Score
43376
Single Precision Score
62316
Half Precision Score
32353
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | May 02 2025 06:35 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15706
2.92 KIPS |
|
|
Image Classification (HP)
|
100% |
19722
3.67 KIPS |
|
|
Image Classification (Q)
|
100% |
13609
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31315
507.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
37832
613.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
28666
466.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
381447
445.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
851460
993.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
309844
362.9 IPS |
|
|
Object Detection (SP)
|
100% |
21082
1.67 KIPS |
|
|
Object Detection (HP)
|
100% |
26386
2.09 KIPS |
|
|
Object Detection (Q)
|
85% |
17554
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
60350
717.1 IPS |
|
|
Face Detection (HP)
|
100% |
76157
904.9 IPS |
|
|
Face Detection (Q)
|
97% |
49170
586.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
102237
787.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
181409
1.40 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73261
586.8 IPS |
|
|
Style Transfer (SP)
|
100% |
576751
741.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1515397
1.95 KIPS |
|
|
Style Transfer (Q)
|
98% |
481143
620.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68646
2.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87088
3.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50026
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3845
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4597
6.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2323
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
6347
109.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6286
108.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2940
55.1 IPS |
