System manufacturer System Product Name
Geekbench AI Score
2187
Single Precision Score
1004
Half Precision Score
2526
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Brock_Suire |
| Upload Date | September 04 2025 12:06 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1719
319.7 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
96% |
2233
416.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
420
6.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
1543
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4446
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3535
4.13 IPS |
|
|
Pose Estimation (Q)
|
86% |
4854
5.74 IPS |
|
|
Object Detection (SP)
|
100% |
1650
130.9 IPS |
|
|
Object Detection (HP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (Q)
|
58% |
1559
170.4 IPS |
|
|
Face Detection (SP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
1035
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
4551
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5287
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1574
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
4964
39.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10040
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8226
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
8566
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1524
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1418
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1446
53.6 IPS |
|
|
Text Classification (SP)
|
100% |
944
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
408
544.1 IPS |
|
|
Text Classification (Q)
|
97% |
860
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
68% |
1686
32.6 IPS |
