System manufacturer System Product Name
Geekbench AI Score
2635
Single Precision Score
1113
Half Precision Score
2976
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kaloryfer |
| Upload Date | July 31 2025 01:58 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X570-P |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.8 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (Q)
|
96% |
2978
556.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
462
7.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
2871
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6174
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4510
5.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
7669
9.07 IPS |
|
|
Object Detection (SP)
|
100% |
2031
161.1 IPS |
|
|
Object Detection (HP)
|
100% |
510
40.5 IPS |
|
|
Object Detection (Q)
|
58% |
2081
227.4 IPS |
|
|
Face Detection (SP)
|
100% |
4335
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
1073
12.8 IPS |
|
|
Face Detection (Q)
|
96% |
5904
70.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5938
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1631
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7049
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12705
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11248
14.5 IPS |
|
|
Style Transfer (Q)
|
87% |
12930
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1493
55.3 IPS |
|
|
Text Classification (SP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
434
578.9 IPS |
|
|
Text Classification (Q)
|
97% |
322
431.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (Q)
|
68% |
1545
29.9 IPS |
