System manufacturer System Product Name
Geekbench AI Score
3599
Single Precision Score
1328
Half Precision Score
3154
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 10:37 AM |
| Views | 3 |
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% |
1544
287.2 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
96% |
2367
442.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
2089
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13030
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8476
9.89 IPS |
|
|
Pose Estimation (Q)
|
87% |
18616
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2256
179.0 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
86% |
1619
130.2 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
1111
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
3738
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8808
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1709
13.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5873
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25515
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16238
20.9 IPS |
|
|
Style Transfer (Q)
|
87% |
18465
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3357
124.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2475
91.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2674
99.1 IPS |
|
|
Text Classification (SP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
531
708.2 IPS |
|
|
Text Classification (Q)
|
97% |
384
514.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1737
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (Q)
|
60% |
1575
35.1 IPS |
