ASUS System Product Name
Geekbench AI Score
6630
Single Precision Score
6753
Half Precision Score
13960
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 21 2024 10:13 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4502
837.2 IPS |
|
|
Image Classification (HP)
|
100% |
4499
836.7 IPS |
|
|
Image Classification (Q)
|
100% |
6718
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4561
73.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4954
80.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5813
94.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11917
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12066
14.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
19768
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2872
227.8 IPS |
|
|
Object Detection (HP)
|
100% |
2958
234.7 IPS |
|
|
Object Detection (Q)
|
88% |
11572
927.7 IPS |
|
|
Face Detection (SP)
|
100% |
13475
160.1 IPS |
|
|
Face Detection (HP)
|
100% |
13598
161.6 IPS |
|
|
Face Detection (Q)
|
100% |
29172
346.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13104
101.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13092
100.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
32423
252.1 IPS |
|
|
Style Transfer (SP)
|
100% |
40198
51.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40311
51.8 IPS |
|
|
Style Transfer (Q)
|
98% |
105319
135.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6212
229.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6237
230.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19390
718.1 IPS |
|
|
Text Classification (SP)
|
100% |
1644
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
4820
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3223
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3064
52.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3382
58.3 IPS |
