3090 Reg x16 - AfterB +110MHz +0MHz mem 25%v+ Generic
Geekbench AI Score
18453
Single Precision Score
24737
Half Precision Score
12103
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | February 04 2025 04:16 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X79 Professional |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1680 v2 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7410
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
9460
1.76 KIPS |
|
|
Image Classification (Q)
|
100% |
5143
956.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8226
133.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9419
152.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6883
111.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
166654
194.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
291595
340.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
124000
145.3 IPS |
|
|
Object Detection (SP)
|
100% |
9354
742.0 IPS |
|
|
Object Detection (HP)
|
100% |
11999
951.8 IPS |
|
|
Object Detection (Q)
|
85% |
6235
501.6 IPS |
|
|
Face Detection (SP)
|
100% |
20196
240.0 IPS |
|
|
Face Detection (HP)
|
100% |
23963
284.7 IPS |
|
|
Face Detection (Q)
|
97% |
15097
180.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
56006
431.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
88213
681.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
35652
285.3 IPS |
|
|
Style Transfer (SP)
|
100% |
257318
330.8 IPS |
|
|
Style Transfer (HP)
|
100% |
528647
679.6 IPS |
|
|
Style Transfer (Q)
|
98% |
183257
236.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34151
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43107
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20205
748.2 IPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2752
3.67 KIPS |
|
|
Text Classification (Q)
|
97% |
1207
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2141
36.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2076
35.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1025
19.2 IPS |
