System manufacturer System Product Name
Geekbench AI Score
4263
Single Precision Score
4047
Half Precision Score
6205
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | magnusanton |
| Upload Date | November 09 2024 07:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-9900 CPU @ 3.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z390-P |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2719
505.6 IPS |
|
|
Image Classification (HP)
|
100% |
2838
527.7 IPS |
|
|
Image Classification (Q)
|
100% |
4432
824.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2695
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2752
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4167
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6912
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3738
4.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
9630
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
2767
219.5 IPS |
|
|
Object Detection (HP)
|
100% |
2917
231.4 IPS |
|
|
Object Detection (Q)
|
87% |
2710
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
4714
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
4752
56.5 IPS |
|
|
Face Detection (Q)
|
97% |
12466
148.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8140
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8006
61.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
13107
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19634
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19315
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
37703
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3999
147.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3878
143.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7607
281.8 IPS |
|
|
Text Classification (SP)
|
100% |
1327
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1351
1.80 KIPS |
|
|
Text Classification (Q)
|
91% |
1048
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3576
61.6 IPS |
