System manufacturer System Product Name
Geekbench AI Score
3816
Single Precision Score
1450
Half Precision Score
3328
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 05:56 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% |
1737
323.0 IPS |
|
|
Image Classification (HP)
|
100% |
405
75.4 IPS |
|
|
Image Classification (Q)
|
96% |
2718
507.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
2131
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13732
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9055
10.6 IPS |
|
|
Pose Estimation (Q)
|
87% |
19568
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
86% |
1728
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (Q)
|
96% |
3934
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9769
75.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1817
14.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
6043
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26243
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18051
23.2 IPS |
|
|
Style Transfer (Q)
|
87% |
19453
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3392
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2592
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2782
103.1 IPS |
|
|
Text Classification (SP)
|
100% |
1427
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
562
750.1 IPS |
|
|
Text Classification (Q)
|
97% |
399
533.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (Q)
|
60% |
1662
37.1 IPS |
