System manufacturer System Product Name
Geekbench AI Score
6271
Single Precision Score
6255
Half Precision Score
12391
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Hampi |
| Upload Date | October 10 2024 09:31 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-10920X CPU @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X299-E GAMING II |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10920X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3685
685.2 IPS |
|
|
Image Classification (HP)
|
100% |
3710
689.9 IPS |
|
|
Image Classification (Q)
|
100% |
7573
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4207
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4081
66.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7253
117.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11381
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11392
13.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
41325
48.4 IPS |
|
|
Object Detection (SP)
|
100% |
3503
277.8 IPS |
|
|
Object Detection (HP)
|
100% |
3542
280.9 IPS |
|
|
Object Detection (Q)
|
88% |
8480
679.8 IPS |
|
|
Face Detection (SP)
|
100% |
9958
118.3 IPS |
|
|
Face Detection (HP)
|
100% |
10011
118.9 IPS |
|
|
Face Detection (Q)
|
100% |
21673
257.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10617
81.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10774
83.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
22503
175.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30763
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31322
40.3 IPS |
|
|
Style Transfer (Q)
|
98% |
90157
116.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5886
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15037
556.9 IPS |
|
|
Text Classification (SP)
|
100% |
2472
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (Q)
|
92% |
2065
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3219
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3213
55.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3248
56.0 IPS |
