ASUS System Product Name
Geekbench AI Score
19334
Single Precision Score
29559
Half Precision Score
13177
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | laduran |
| Upload Date | May 10 2025 07:39 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B760-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9458
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
11647
2.17 KIPS |
|
|
Image Classification (Q)
|
100% |
7306
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12035
195.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14191
230.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9678
157.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
77009
89.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
307809
359.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
63762
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
11381
902.7 IPS |
|
|
Object Detection (HP)
|
100% |
14078
1.12 KIPS |
|
|
Object Detection (Q)
|
87% |
8869
711.9 IPS |
|
|
Face Detection (SP)
|
100% |
25178
299.2 IPS |
|
|
Face Detection (HP)
|
100% |
32382
384.8 IPS |
|
|
Face Detection (Q)
|
97% |
18234
217.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
61574
474.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
93435
719.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
34687
278.0 IPS |
|
|
Style Transfer (SP)
|
100% |
191486
246.2 IPS |
|
|
Style Transfer (HP)
|
100% |
493534
634.4 IPS |
|
|
Style Transfer (Q)
|
98% |
128732
166.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29652
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49701
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15647
579.4 IPS |
|
|
Text Classification (SP)
|
100% |
2838
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1762
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2929
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2990
51.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1759
33.0 IPS |
