Micro-Star International Co., Ltd. MS-7D96
Geekbench AI Score
14055
Single Precision Score
24014
Half Precision Score
9685
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Birkin |
| Upload Date | February 28 2026 07:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D96 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760 TOMAHAWK WIFI (MS-7D96) |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5677
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
10034
1.87 KIPS |
|
|
Image Classification (Q)
|
99% |
4272
796.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10214
165.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14414
233.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8125
132.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
68031
79.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
201762
235.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
57164
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
6711
532.3 IPS |
|
|
Object Detection (HP)
|
100% |
11916
945.2 IPS |
|
|
Object Detection (Q)
|
84% |
5199
419.3 IPS |
|
|
Face Detection (SP)
|
100% |
17733
210.7 IPS |
|
|
Face Detection (HP)
|
100% |
27983
332.5 IPS |
|
|
Face Detection (Q)
|
97% |
14012
167.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33359
257.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
61869
476.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
23246
186.1 IPS |
|
|
Style Transfer (SP)
|
100% |
112459
144.6 IPS |
|
|
Style Transfer (HP)
|
100% |
262339
337.2 IPS |
|
|
Style Transfer (Q)
|
98% |
91496
118.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23221
857.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35203
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13824
511.9 IPS |
|
|
Text Classification (SP)
|
100% |
2013
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
3107
4.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1194
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3656
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3693
63.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1431
26.8 IPS |
