ASUS System Product Name
Geekbench AI Score
7407
Single Precision Score
7419
Half Precision Score
16069
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 22 2024 02:30 AM |
| Views | 4 |
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% |
4413
820.6 IPS |
|
|
Image Classification (HP)
|
100% |
4502
837.2 IPS |
|
|
Image Classification (Q)
|
100% |
10543
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5984
97.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6016
97.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9919
160.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13442
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13401
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
34456
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
4072
323.0 IPS |
|
|
Object Detection (HP)
|
100% |
4065
322.4 IPS |
|
|
Object Detection (Q)
|
88% |
11474
919.7 IPS |
|
|
Face Detection (SP)
|
100% |
13623
161.9 IPS |
|
|
Face Detection (HP)
|
100% |
13640
162.1 IPS |
|
|
Face Detection (Q)
|
100% |
27325
324.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13089
100.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13092
100.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
31306
243.4 IPS |
|
|
Style Transfer (SP)
|
100% |
40095
51.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39832
51.2 IPS |
|
|
Style Transfer (Q)
|
98% |
95565
123.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6181
228.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6181
228.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19272
713.7 IPS |
|
|
Text Classification (SP)
|
100% |
2038
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2057
2.75 KIPS |
|
|
Text Classification (Q)
|
92% |
4652
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3823
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3790
65.3 IPS |
