System manufacturer System Product Name
Geekbench AI Score
4747
Single Precision Score
4783
Half Precision Score
6307
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spiike |
| Upload Date | June 15 2025 05:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2843
528.8 IPS |
|
|
Image Classification (HP)
|
100% |
2845
529.0 IPS |
|
|
Image Classification (Q)
|
100% |
4037
750.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3456
56.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3534
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4927
80.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5602
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
5598
6.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
11010
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
2844
225.6 IPS |
|
|
Object Detection (HP)
|
100% |
2869
227.6 IPS |
|
|
Object Detection (Q)
|
87% |
4198
336.7 IPS |
|
|
Face Detection (SP)
|
100% |
9023
107.2 IPS |
|
|
Face Detection (HP)
|
100% |
8972
106.6 IPS |
|
|
Face Detection (Q)
|
97% |
12417
148.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6952
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7043
54.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
12048
95.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16477
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16376
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31135
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3349
123.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3436
126.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6286
232.8 IPS |
|
|
Text Classification (SP)
|
100% |
2487
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2530
3.38 KIPS |
|
|
Text Classification (Q)
|
91% |
911
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4318
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4315
74.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4062
70.0 IPS |
