ASUS System Product Name
Geekbench AI Score
27694
Single Precision Score
48731
Half Precision Score
21316
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 10:53 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B760-G GAMING WIFI |
| Power Plan | Desempenho Mximo |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| 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% |
11172
2.08 KIPS |
|
|
Image Classification (HP)
|
100% |
18938
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
10099
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21985
356.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
32924
533.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19853
322.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
164541
192.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
474393
553.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
142646
167.1 IPS |
|
|
Object Detection (SP)
|
100% |
14405
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
23461
1.86 KIPS |
|
|
Object Detection (Q)
|
83% |
12395
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
40037
475.7 IPS |
|
|
Face Detection (HP)
|
100% |
58793
698.6 IPS |
|
|
Face Detection (Q)
|
97% |
34087
406.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
69169
532.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
133065
1.03 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54747
437.0 IPS |
|
|
Style Transfer (SP)
|
100% |
226355
291.0 IPS |
|
|
Style Transfer (HP)
|
100% |
772261
992.8 IPS |
|
|
Style Transfer (Q)
|
98% |
199431
257.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40468
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71313
2.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30987
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4457
5.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2172
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5030
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5668
97.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2182
40.9 IPS |
