Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
18639
Single Precision Score
28166
Half Precision Score
15145
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | May 05 2025 05:43 AM |
| Views | 5 |
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-7B89 |
| Motherboard | Micro-Star International Co., Ltd. B450M MORTAR MAX (MS-7B89) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8134
1.51 KIPS |
|
|
Image Classification (HP)
|
99% |
11758
2.19 KIPS |
|
|
Image Classification (Q)
|
99% |
7390
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10267
166.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12188
197.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9516
154.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
111070
129.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
316572
369.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
98849
115.8 IPS |
|
|
Object Detection (SP)
|
100% |
9209
730.4 IPS |
|
|
Object Detection (HP)
|
100% |
13087
1.04 KIPS |
|
|
Object Detection (Q)
|
85% |
8172
657.9 IPS |
|
|
Face Detection (SP)
|
100% |
20641
245.3 IPS |
|
|
Face Detection (HP)
|
100% |
27766
329.9 IPS |
|
|
Face Detection (Q)
|
97% |
18397
219.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
51210
394.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86009
662.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
41661
333.6 IPS |
|
|
Style Transfer (SP)
|
100% |
193565
248.8 IPS |
|
|
Style Transfer (HP)
|
100% |
420154
540.1 IPS |
|
|
Style Transfer (Q)
|
98% |
174674
225.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31720
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46523
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24982
925.0 IPS |
|
|
Text Classification (SP)
|
100% |
3068
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3618
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2000
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2976
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1671
31.3 IPS |
