Generic
Geekbench AI Score
14879
Single Precision Score
23263
Half Precision Score
10288
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | firecall |
| Upload Date | January 04 2025 02:18 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B460 Steel Legend |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6535
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
9345
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
4745
882.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7889
127.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10108
163.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6685
108.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
90211
105.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
239324
279.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
74959
87.8 IPS |
|
|
Object Detection (SP)
|
100% |
7466
592.2 IPS |
|
|
Object Detection (HP)
|
100% |
11778
934.2 IPS |
|
|
Object Detection (Q)
|
85% |
5791
466.2 IPS |
|
|
Face Detection (SP)
|
100% |
17189
204.2 IPS |
|
|
Face Detection (HP)
|
100% |
24351
289.3 IPS |
|
|
Face Detection (Q)
|
97% |
13973
166.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
38926
299.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
72043
555.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
26660
213.4 IPS |
|
|
Style Transfer (SP)
|
100% |
148350
190.7 IPS |
|
|
Style Transfer (HP)
|
100% |
347985
447.3 IPS |
|
|
Style Transfer (Q)
|
98% |
118819
153.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26819
990.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35703
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15652
579.6 IPS |
|
|
Text Classification (SP)
|
100% |
2397
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
3279
4.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1205
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2401
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2440
42.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1156
21.7 IPS |
