RTX 4060 Ti 16GB Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
19618
Single Precision Score
31563
Half Precision Score
15301
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MemoryzoneBySieuToc |
| Upload Date | September 10 2024 07:32 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. B760M GAMING PLUS WIFI DDR4 (MS-7D99) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8631
1.61 KIPS |
|
|
Image Classification (HP)
|
99% |
13152
2.45 KIPS |
|
|
Image Classification (Q)
|
100% |
7585
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12140
196.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15085
244.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11168
181.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
113024
131.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
331242
386.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
100023
117.1 IPS |
|
|
Object Detection (SP)
|
100% |
9870
782.9 IPS |
|
|
Object Detection (HP)
|
100% |
15301
1.21 KIPS |
|
|
Object Detection (Q)
|
89% |
8737
699.6 IPS |
|
|
Face Detection (SP)
|
100% |
21090
250.6 IPS |
|
|
Face Detection (HP)
|
100% |
31619
375.7 IPS |
|
|
Face Detection (Q)
|
97% |
17617
210.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
47211
363.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
89276
687.8 IPS |
|
|
Depth Estimation (Q)
|
72% |
37350
308.6 IPS |
|
|
Style Transfer (SP)
|
100% |
199382
256.3 IPS |
|
|
Style Transfer (HP)
|
100% |
463913
596.4 IPS |
|
|
Style Transfer (Q)
|
98% |
178928
230.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33019
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50138
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24914
922.5 IPS |
|
|
Text Classification (SP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4230
5.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2090
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3276
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1550
34.6 IPS |
