System manufacturer System Product Name
Geekbench AI Score
36375
Single Precision Score
48439
Half Precision Score
27860
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | thecrownguy |
| Upload Date | February 09 2025 10:55 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 |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13266
2.47 KIPS |
|
|
Image Classification (HP)
|
99% |
17150
3.20 KIPS |
|
|
Image Classification (Q)
|
100% |
11468
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21134
342.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23433
379.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19362
314.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
301574
351.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
524489
612.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
260864
305.6 IPS |
|
|
Object Detection (SP)
|
100% |
17761
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
22168
1.76 KIPS |
|
|
Object Detection (Q)
|
86% |
15049
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
49284
585.6 IPS |
|
|
Face Detection (HP)
|
100% |
60878
723.4 IPS |
|
|
Face Detection (Q)
|
97% |
42435
506.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
97675
752.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
156764
1.21 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71307
570.3 IPS |
|
|
Style Transfer (SP)
|
100% |
561461
721.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1039541
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
480568
619.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59038
2.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77001
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43978
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3358
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
4021
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2062
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5040
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4955
85.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2451
46.0 IPS |
