ASUS System Product Name
Geekbench AI Score
16124
Single Precision Score
24335
Half Precision Score
13174
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 11 2025 06:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. CROSSHAIR VI HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6577
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
10711
2.00 KIPS |
|
|
Image Classification (Q)
|
99% |
5995
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9269
150.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13408
217.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9762
158.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
88145
102.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
237283
276.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
77617
90.9 IPS |
|
|
Object Detection (SP)
|
100% |
8215
651.6 IPS |
|
|
Object Detection (HP)
|
100% |
13114
1.04 KIPS |
|
|
Object Detection (Q)
|
84% |
7289
587.9 IPS |
|
|
Face Detection (SP)
|
100% |
19499
231.7 IPS |
|
|
Face Detection (HP)
|
100% |
29234
347.4 IPS |
|
|
Face Detection (Q)
|
97% |
17236
205.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
39600
305.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
77923
600.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
33079
264.6 IPS |
|
|
Style Transfer (SP)
|
100% |
143084
183.9 IPS |
|
|
Style Transfer (HP)
|
100% |
348521
448.0 IPS |
|
|
Style Transfer (Q)
|
98% |
128203
165.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27709
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43241
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20424
756.3 IPS |
|
|
Text Classification (SP)
|
100% |
2703
3.61 KIPS |
|
|
Text Classification (HP)
|
99% |
3011
4.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1816
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3252
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1755
32.9 IPS |
