ASUS System Product Name
Geekbench AI Score
6563
Single Precision Score
6364
Half Precision Score
13665
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 21 2024 06:30 AM |
| Views | 9 |
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% |
2645
491.9 IPS |
|
|
Image Classification (HP)
|
100% |
2520
468.6 IPS |
|
|
Image Classification (Q)
|
100% |
6756
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4705
76.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5095
82.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4743
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12000
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11882
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
37781
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
4097
325.0 IPS |
|
|
Object Detection (HP)
|
100% |
4099
325.1 IPS |
|
|
Object Detection (Q)
|
88% |
11337
908.8 IPS |
|
|
Face Detection (SP)
|
100% |
13660
162.3 IPS |
|
|
Face Detection (HP)
|
100% |
13648
162.2 IPS |
|
|
Face Detection (Q)
|
100% |
28960
344.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13149
101.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13098
100.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
32481
252.6 IPS |
|
|
Style Transfer (SP)
|
100% |
39910
51.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39740
51.1 IPS |
|
|
Style Transfer (Q)
|
98% |
104106
134.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6215
229.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4579
169.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10401
385.2 IPS |
|
|
Text Classification (SP)
|
100% |
1705
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1673
2.23 KIPS |
|
|
Text Classification (Q)
|
92% |
4920
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3193
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3302
56.9 IPS |
