Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
30881
Single Precision Score
46150
Half Precision Score
23051
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 12:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-S WIFI (MS-7E26) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12339
2.29 KIPS |
|
|
Image Classification (HP)
|
99% |
17261
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
10434
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20069
325.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25819
418.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18620
302.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
195572
228.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
465269
542.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
177649
208.0 IPS |
|
|
Object Detection (SP)
|
100% |
15094
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
22674
1.80 KIPS |
|
|
Object Detection (Q)
|
89% |
12105
969.1 IPS |
|
|
Face Detection (SP)
|
100% |
39656
471.2 IPS |
|
|
Face Detection (HP)
|
100% |
53199
632.1 IPS |
|
|
Face Detection (Q)
|
97% |
32522
387.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
73308
564.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
128403
992.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
55246
445.1 IPS |
|
|
Style Transfer (SP)
|
100% |
352869
453.6 IPS |
|
|
Style Transfer (HP)
|
100% |
847523
1.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
309614
399.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52135
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65886
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37471
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4697
6.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2236
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5244
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5203
89.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2176
48.5 IPS |
