ASUS System Product Name
Geekbench AI Score
26027
Single Precision Score
36471
Half Precision Score
20519
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | DanBal76 |
| Upload Date | January 05 2025 12:28 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z490-PLUS |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10795
2.01 KIPS |
|
|
Image Classification (HP)
|
99% |
14842
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
7998
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12841
208.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15255
247.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12442
202.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
231982
270.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
423540
494.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
208224
243.8 IPS |
|
|
Object Detection (SP)
|
100% |
12158
964.4 IPS |
|
|
Object Detection (HP)
|
100% |
16972
1.35 KIPS |
|
|
Object Detection (Q)
|
89% |
12036
963.6 IPS |
|
|
Face Detection (SP)
|
100% |
30492
362.3 IPS |
|
|
Face Detection (HP)
|
100% |
36066
428.5 IPS |
|
|
Face Detection (Q)
|
97% |
26895
320.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
69307
534.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
124785
961.4 IPS |
|
|
Depth Estimation (Q)
|
70% |
52210
437.3 IPS |
|
|
Style Transfer (SP)
|
100% |
349313
449.0 IPS |
|
|
Style Transfer (HP)
|
100% |
725990
933.3 IPS |
|
|
Style Transfer (Q)
|
98% |
311170
401.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47955
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62805
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35692
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2077
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1638
36.5 IPS |
