ASUS System Product Name
Geekbench AI Score
29516
Single Precision Score
45190
Half Precision Score
22679
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 02:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11698
2.18 KIPS |
|
|
Image Classification (HP)
|
99% |
17184
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
10101
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20373
330.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
26323
426.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18458
300.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
188781
220.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
470593
549.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
169651
198.7 IPS |
|
|
Object Detection (SP)
|
100% |
14418
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
22677
1.80 KIPS |
|
|
Object Detection (Q)
|
89% |
12456
997.2 IPS |
|
|
Face Detection (SP)
|
100% |
38168
453.5 IPS |
|
|
Face Detection (HP)
|
100% |
52425
622.9 IPS |
|
|
Face Detection (Q)
|
97% |
30968
369.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
68927
531.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
121767
938.1 IPS |
|
|
Depth Estimation (Q)
|
70% |
51763
433.3 IPS |
|
|
Style Transfer (SP)
|
100% |
326540
419.8 IPS |
|
|
Style Transfer (HP)
|
100% |
781745
1.00 KIPS |
|
|
Style Transfer (Q)
|
98% |
294818
380.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49594
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62107
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36390
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3639
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
4502
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2294
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4991
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5274
90.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2316
51.7 IPS |
