ASUS System Product Name
Geekbench AI Score
7369
Single Precision Score
7448
Half Precision Score
16215
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 22 2024 02:07 AM |
| Views | 2 |
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% |
4528
842.1 IPS |
|
|
Image Classification (HP)
|
100% |
4518
840.2 IPS |
|
|
Image Classification (Q)
|
100% |
10484
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6013
97.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6022
97.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9928
160.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13450
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13379
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
34440
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
4078
323.5 IPS |
|
|
Object Detection (HP)
|
100% |
4027
319.4 IPS |
|
|
Object Detection (Q)
|
88% |
11448
917.7 IPS |
|
|
Face Detection (SP)
|
100% |
13608
161.7 IPS |
|
|
Face Detection (HP)
|
100% |
13591
161.5 IPS |
|
|
Face Detection (Q)
|
100% |
26849
319.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13088
100.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13037
100.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
31003
241.1 IPS |
|
|
Style Transfer (SP)
|
100% |
39800
51.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39791
51.2 IPS |
|
|
Style Transfer (Q)
|
98% |
95158
122.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6188
228.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6188
228.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19229
712.1 IPS |
|
|
Text Classification (SP)
|
100% |
1910
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2198
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
5219
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3739
64.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3852
66.4 IPS |
