3090 Reg x16 - AfterB +0MHz +0MHz mem 0%v+ Generic
Geekbench AI Score
18491
Single Precision Score
24514
Half Precision Score
12411
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | February 05 2025 09:17 AM |
| Views | 6 |
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 | High performance |
| 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% |
7400
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
8835
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
5227
972.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7900
128.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9232
149.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6989
113.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
163878
191.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
290975
339.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
122977
144.1 IPS |
|
|
Object Detection (SP)
|
100% |
9472
751.3 IPS |
|
|
Object Detection (HP)
|
100% |
11908
944.5 IPS |
|
|
Object Detection (Q)
|
85% |
6753
543.2 IPS |
|
|
Face Detection (SP)
|
100% |
20280
241.0 IPS |
|
|
Face Detection (HP)
|
100% |
24411
290.1 IPS |
|
|
Face Detection (Q)
|
97% |
15447
184.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
58047
447.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86705
669.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
35163
281.4 IPS |
|
|
Style Transfer (SP)
|
100% |
253808
326.3 IPS |
|
|
Style Transfer (HP)
|
100% |
521674
670.6 IPS |
|
|
Style Transfer (Q)
|
98% |
184469
237.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33404
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42605
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20292
751.4 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2699
3.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1256
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2230
38.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2184
37.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1120
21.0 IPS |
