ASUS System Product Name
Geekbench AI Score
6383
Single Precision Score
6593
Half Precision Score
13077
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 21 2024 09:48 PM |
| 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% |
2292
426.2 IPS |
|
|
Image Classification (HP)
|
100% |
2850
530.0 IPS |
|
|
Image Classification (Q)
|
100% |
6755
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4640
75.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5981
97.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10605
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13732
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13766
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
38106
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
4101
325.3 IPS |
|
|
Object Detection (HP)
|
100% |
4097
325.0 IPS |
|
|
Object Detection (Q)
|
88% |
11521
923.6 IPS |
|
|
Face Detection (SP)
|
100% |
13639
162.1 IPS |
|
|
Face Detection (HP)
|
100% |
13634
162.0 IPS |
|
|
Face Detection (Q)
|
100% |
29311
348.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11125
85.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11067
85.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
15876
123.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34710
44.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34795
44.7 IPS |
|
|
Style Transfer (Q)
|
98% |
54328
70.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4980
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4646
171.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10721
397.0 IPS |
|
|
Text Classification (SP)
|
100% |
2086
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1760
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
4425
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3880
66.8 IPS |
