ASUS System Product Name
Geekbench AI Score
22516
Single Precision Score
36377
Half Precision Score
14215
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 02 2025 07:38 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890M-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8615
1.60 KIPS |
|
|
Image Classification (HP)
|
99% |
13400
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
6082
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16053
260.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24659
399.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12077
196.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
121708
142.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
332087
387.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
98347
115.2 IPS |
|
|
Object Detection (SP)
|
100% |
11498
912.0 IPS |
|
|
Object Detection (HP)
|
100% |
18332
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
8231
662.6 IPS |
|
|
Face Detection (SP)
|
100% |
28365
337.0 IPS |
|
|
Face Detection (HP)
|
100% |
43834
520.8 IPS |
|
|
Face Detection (Q)
|
97% |
20665
246.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
53957
415.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96232
741.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
34719
278.1 IPS |
|
|
Style Transfer (SP)
|
100% |
196833
253.0 IPS |
|
|
Style Transfer (HP)
|
100% |
491625
632.0 IPS |
|
|
Style Transfer (Q)
|
98% |
151942
195.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37225
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48500
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20631
763.9 IPS |
|
|
Text Classification (SP)
|
100% |
3162
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4084
5.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1513
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4882
84.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4911
84.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1666
31.2 IPS |
