ASUS System Product Name
Geekbench AI Score
20678
Single Precision Score
34445
Half Precision Score
16320
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ranwise |
| Upload Date | May 17 2025 12:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8689
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
13285
2.48 KIPS |
|
|
Image Classification (Q)
|
99% |
7840
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15166
245.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20188
327.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13534
220.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
111640
130.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
354105
413.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
99567
116.7 IPS |
|
|
Object Detection (SP)
|
100% |
10270
814.7 IPS |
|
|
Object Detection (HP)
|
100% |
16771
1.33 KIPS |
|
|
Object Detection (Q)
|
85% |
8986
723.4 IPS |
|
|
Face Detection (SP)
|
100% |
26422
313.9 IPS |
|
|
Face Detection (HP)
|
100% |
41288
490.6 IPS |
|
|
Face Detection (Q)
|
97% |
23167
276.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
46938
361.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
92786
714.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
39391
315.4 IPS |
|
|
Style Transfer (SP)
|
100% |
196062
252.0 IPS |
|
|
Style Transfer (HP)
|
100% |
475936
611.8 IPS |
|
|
Style Transfer (Q)
|
98% |
179089
230.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32615
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49928
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24217
896.7 IPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
3648
4.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1835
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4084
70.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4445
76.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1945
36.5 IPS |
