Generic
Geekbench AI Score
2807
Single Precision Score
1096
Half Precision Score
2988
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | vinylman |
| Upload Date | May 23 2025 04:59 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X570 Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2038
379.1 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.9 IPS |
|
|
Image Classification (Q)
|
96% |
3118
582.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
1706
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8090
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
5296
6.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
8315
9.83 IPS |
|
|
Object Detection (SP)
|
100% |
2111
167.4 IPS |
|
|
Object Detection (HP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (Q)
|
58% |
2090
228.4 IPS |
|
|
Face Detection (SP)
|
100% |
4215
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (Q)
|
96% |
6011
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7260
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1695
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7392
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15253
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13180
16.9 IPS |
|
|
Style Transfer (Q)
|
87% |
12980
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1686
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1693
62.7 IPS |
|
|
Text Classification (SP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
411
548.9 IPS |
|
|
Text Classification (Q)
|
97% |
331
442.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (Q)
|
68% |
1905
36.8 IPS |
