System manufacturer System Product Name
Geekbench AI Score
2803
Single Precision Score
979
Half Precision Score
3054
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 01:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10920X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X299-A II |
| 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% |
1502
279.3 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
99% |
2477
462.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1748
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7653
8.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
5356
6.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
29647
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (Q)
|
88% |
1284
102.9 IPS |
|
|
Face Detection (SP)
|
100% |
2907
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
887
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
3564
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6556
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1237
9.53 IPS |
|
|
Depth Estimation (Q)
|
77% |
6520
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16371
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10558
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22059
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2506
92.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1706
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2344
86.8 IPS |
|
|
Text Classification (SP)
|
100% |
1213
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
400
533.4 IPS |
|
|
Text Classification (Q)
|
97% |
285
382.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
60% |
1251
27.9 IPS |
