Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
30236
Single Precision Score
50840
Half Precision Score
23215
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D98 |
| Motherboard | Micro-Star International Co., Ltd. B760 GAMING PLUS WIFI (MS-7D98) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13363
2.49 KIPS |
|
|
Image Classification (HP)
|
100% |
19720
3.67 KIPS |
|
|
Image Classification (Q)
|
100% |
11786
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19082
309.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24651
399.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17199
279.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
155629
181.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
631397
736.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
146579
171.7 IPS |
|
|
Object Detection (SP)
|
100% |
15773
1.25 KIPS |
|
|
Object Detection (HP)
|
100% |
25068
1.99 KIPS |
|
|
Object Detection (Q)
|
86% |
13121
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
41227
489.9 IPS |
|
|
Face Detection (HP)
|
100% |
54396
646.3 IPS |
|
|
Face Detection (Q)
|
97% |
35189
419.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
80352
619.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
140895
1.09 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59398
474.3 IPS |
|
|
Style Transfer (SP)
|
100% |
309109
397.4 IPS |
|
|
Style Transfer (HP)
|
100% |
958546
1.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
255506
329.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46786
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76795
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34977
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4001
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4982
6.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2377
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5323
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5335
91.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2627
49.3 IPS |
