ASUS System Product Name
Geekbench AI Score
32458
Single Precision Score
55686
Half Precision Score
24633
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | CSIridges |
| Upload Date | September 11 2025 05:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660M-PLUS WIFI D4 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13593
2.53 KIPS |
|
|
Image Classification (HP)
|
100% |
20350
3.78 KIPS |
|
|
Image Classification (Q)
|
100% |
11941
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24148
391.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
34511
559.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21417
348.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
170858
199.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
670474
782.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
154224
180.7 IPS |
|
|
Object Detection (SP)
|
100% |
16471
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
25888
2.05 KIPS |
|
|
Object Detection (Q)
|
86% |
13564
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
45920
545.6 IPS |
|
|
Face Detection (HP)
|
100% |
65874
782.7 IPS |
|
|
Face Detection (Q)
|
97% |
38311
456.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
81743
629.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
145856
1.12 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61354
489.9 IPS |
|
|
Style Transfer (SP)
|
100% |
310004
398.5 IPS |
|
|
Style Transfer (HP)
|
100% |
997344
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
258776
333.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46876
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76945
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35895
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3956
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4863
6.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2377
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6512
112.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6560
113.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2963
55.6 IPS |
