ASUS System Product Name
Geekbench AI Score
1907
Single Precision Score
1056
Half Precision Score
2259
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 01:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z590-P WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.1 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
1613
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3658
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3392
3.96 IPS |
|
|
Pose Estimation (Q)
|
87% |
9043
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1262
100.1 IPS |
|
|
Object Detection (HP)
|
100% |
477
37.8 IPS |
|
|
Object Detection (Q)
|
86% |
1322
106.3 IPS |
|
|
Face Detection (SP)
|
100% |
1132
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (Q)
|
96% |
2241
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3911
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1574
12.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3784
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9408
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8156
10.5 IPS |
|
|
Style Transfer (Q)
|
87% |
8670
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1488
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2278
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
604
806.8 IPS |
|
|
Text Classification (Q)
|
97% |
394
527.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.90 IPS |
|
|
Machine Translation (Q)
|
60% |
1199
26.7 IPS |
