ASUS System Product Name
Geekbench AI Score
24021
Single Precision Score
35880
Half Precision Score
14716
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 11:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9542
1.77 KIPS |
|
|
Image Classification (HP)
|
99% |
13561
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
6394
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14894
241.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19874
322.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10999
178.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
167905
195.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
355460
414.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
128204
150.2 IPS |
|
|
Object Detection (SP)
|
100% |
12346
979.3 IPS |
|
|
Object Detection (HP)
|
100% |
17325
1.37 KIPS |
|
|
Object Detection (Q)
|
85% |
8356
672.2 IPS |
|
|
Face Detection (SP)
|
100% |
30864
366.7 IPS |
|
|
Face Detection (HP)
|
100% |
42464
504.6 IPS |
|
|
Face Detection (Q)
|
97% |
20782
247.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
59673
459.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104910
808.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
35871
287.3 IPS |
|
|
Style Transfer (SP)
|
100% |
270083
347.2 IPS |
|
|
Style Transfer (HP)
|
100% |
625658
804.3 IPS |
|
|
Style Transfer (Q)
|
98% |
191133
246.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38780
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52613
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21269
787.5 IPS |
|
|
Text Classification (SP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (HP)
|
99% |
3814
5.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1450
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3810
65.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1439
27.0 IPS |
