System manufacturer System Product Name
Geekbench AI Score
35473
Single Precision Score
47771
Half Precision Score
27191
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | thecrownguy |
| Upload Date | January 03 2025 10:34 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.55 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12938
2.41 KIPS |
|
|
Image Classification (HP)
|
99% |
16701
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
11150
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21132
342.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
25342
410.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19371
315.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
308306
359.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
514823
600.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
266516
312.3 IPS |
|
|
Object Detection (SP)
|
100% |
17173
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
21446
1.70 KIPS |
|
|
Object Detection (Q)
|
86% |
14319
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
48254
573.4 IPS |
|
|
Face Detection (HP)
|
100% |
59559
707.7 IPS |
|
|
Face Detection (Q)
|
97% |
41405
493.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
91764
707.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
153715
1.18 KIPS |
|
|
Depth Estimation (Q)
|
77% |
67585
540.5 IPS |
|
|
Style Transfer (SP)
|
100% |
550701
707.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1030166
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
473668
610.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56763
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73996
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41811
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
3922
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1986
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4929
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4840
83.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2436
45.7 IPS |
