System manufacturer System Product Name
Geekbench AI Score
3711
Single Precision Score
1401
Half Precision Score
3242
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 05:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-7900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X299-E GAMING II |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7900X |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1580
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.4 IPS |
|
|
Image Classification (Q)
|
96% |
2519
470.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2079
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14149
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9090
10.6 IPS |
|
|
Pose Estimation (Q)
|
87% |
19683
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
86% |
1647
132.4 IPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
1162
13.8 IPS |
|
|
Face Detection (Q)
|
96% |
3822
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9211
71.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1794
13.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
5960
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27409
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18582
23.9 IPS |
|
|
Style Transfer (Q)
|
87% |
18939
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3555
131.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2623
96.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2708
100.4 IPS |
|
|
Text Classification (SP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
549
732.6 IPS |
|
|
Text Classification (Q)
|
97% |
396
529.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1779
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
60% |
1634
36.4 IPS |
