Ti x16 ECC off - DSP: 28.90 T/sec Generic
Geekbench AI Score
18337
Single Precision Score
24411
Half Precision Score
12128
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | March 08 2025 12:50 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X79 Professional |
| 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 | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7096
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
9030
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
5099
948.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8368
135.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9466
153.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7019
114.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
169820
198.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
285159
332.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
126580
148.3 IPS |
|
|
Object Detection (SP)
|
100% |
9289
736.8 IPS |
|
|
Object Detection (HP)
|
100% |
11849
939.9 IPS |
|
|
Object Detection (Q)
|
85% |
6770
544.6 IPS |
|
|
Face Detection (SP)
|
100% |
20663
245.5 IPS |
|
|
Face Detection (HP)
|
100% |
24420
290.2 IPS |
|
|
Face Detection (Q)
|
97% |
15337
182.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
57104
440.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86719
668.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
35069
280.6 IPS |
|
|
Style Transfer (SP)
|
100% |
253160
325.4 IPS |
|
|
Style Transfer (HP)
|
100% |
509359
654.8 IPS |
|
|
Style Transfer (Q)
|
98% |
183804
237.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33556
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44214
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19348
716.4 IPS |
|
|
Text Classification (SP)
|
100% |
2113
2.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2535
3.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1058
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2167
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1110
20.8 IPS |
