System manufacturer System Product Name
Geekbench AI Score
5659
Single Precision Score
5665
Half Precision Score
8158
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | linuxid10t |
| Upload Date | January 13 2025 12:13 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X370-PRO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3875
720.6 IPS |
|
|
Image Classification (HP)
|
100% |
3788
704.4 IPS |
|
|
Image Classification (Q)
|
100% |
5353
995.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4249
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4200
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5998
97.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7135
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
7183
8.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
14745
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
3442
273.0 IPS |
|
|
Object Detection (HP)
|
100% |
3422
271.4 IPS |
|
|
Object Detection (Q)
|
87% |
5508
441.8 IPS |
|
|
Face Detection (SP)
|
100% |
7314
86.9 IPS |
|
|
Face Detection (HP)
|
100% |
7082
84.2 IPS |
|
|
Face Detection (Q)
|
97% |
15704
187.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8689
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8680
66.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
15415
121.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20444
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20245
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
41917
54.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4451
164.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4548
167.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8602
318.6 IPS |
|
|
Text Classification (SP)
|
100% |
3320
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (Q)
|
91% |
1316
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4342
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4431
76.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4364
75.2 IPS |
