Desktop - Z590/i9-11900KF/RTX3090Ti ASUS System Product Name
Geekbench AI Score
25698
Single Precision Score
37340
Half Precision Score
15364
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | RunBoris |
| Upload Date | July 03 2025 06:14 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z590-P |
| Power Plan | Sonos |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8940
1.66 KIPS |
|
|
Image Classification (HP)
|
99% |
13402
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
5782
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17366
281.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23918
387.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12353
200.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
195628
228.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
372833
435.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
142531
167.0 IPS |
|
|
Object Detection (SP)
|
100% |
12639
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
16526
1.31 KIPS |
|
|
Object Detection (Q)
|
85% |
8393
675.2 IPS |
|
|
Face Detection (SP)
|
100% |
34826
413.8 IPS |
|
|
Face Detection (HP)
|
100% |
47999
570.3 IPS |
|
|
Face Detection (Q)
|
97% |
23220
276.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
65754
506.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
105360
811.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
38896
311.5 IPS |
|
|
Style Transfer (SP)
|
100% |
291182
374.3 IPS |
|
|
Style Transfer (HP)
|
100% |
641397
824.5 IPS |
|
|
Style Transfer (Q)
|
98% |
205560
265.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38731
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54015
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22404
829.6 IPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
3402
4.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1296
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4576
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4477
77.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1592
29.9 IPS |
