ASUS System Product Name
Geekbench AI Score
23664
Single Precision Score
45151
Half Precision Score
18058
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 11:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC Evaluation (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B860-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265F |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9885
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
18384
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
9033
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17790
288.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
27724
449.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16047
260.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
120528
140.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
397296
463.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
111148
130.2 IPS |
|
|
Object Detection (SP)
|
100% |
12218
969.1 IPS |
|
|
Object Detection (HP)
|
100% |
23009
1.83 KIPS |
|
|
Object Detection (Q)
|
83% |
10270
829.8 IPS |
|
|
Face Detection (SP)
|
100% |
31301
371.9 IPS |
|
|
Face Detection (HP)
|
100% |
51613
613.3 IPS |
|
|
Face Detection (Q)
|
97% |
27071
322.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
54492
419.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
115696
891.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
43034
343.5 IPS |
|
|
Style Transfer (SP)
|
100% |
168993
217.2 IPS |
|
|
Style Transfer (HP)
|
100% |
602387
774.4 IPS |
|
|
Style Transfer (Q)
|
98% |
147733
190.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34684
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68836
2.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27109
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3810
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4840
6.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2353
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5584
96.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6306
108.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2031
38.1 IPS |
