Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
24911
Single Precision Score
35642
Half Precision Score
19289
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | marvgeek |
| Upload Date | September 30 2024 09:46 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO MAX (MS-7B86) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10485
1.95 KIPS |
|
|
Image Classification (HP)
|
99% |
14275
2.66 KIPS |
|
|
Image Classification (Q)
|
100% |
8904
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13330
216.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16446
266.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12808
208.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
173838
202.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
395796
461.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
156143
182.8 IPS |
|
|
Object Detection (SP)
|
100% |
12152
963.9 IPS |
|
|
Object Detection (HP)
|
100% |
16792
1.33 KIPS |
|
|
Object Detection (Q)
|
89% |
10028
802.8 IPS |
|
|
Face Detection (SP)
|
100% |
28995
344.5 IPS |
|
|
Face Detection (HP)
|
100% |
36558
434.4 IPS |
|
|
Face Detection (Q)
|
97% |
24970
297.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
64938
500.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
107539
828.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
49999
403.3 IPS |
|
|
Style Transfer (SP)
|
100% |
305238
392.4 IPS |
|
|
Style Transfer (HP)
|
100% |
673610
865.9 IPS |
|
|
Style Transfer (Q)
|
98% |
271357
349.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43313
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53195
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32278
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3289
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2015
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3807
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1813
40.4 IPS |
