Micro-Star International Co., Ltd. MS-7D89
Geekbench AI Score
12155
Single Precision Score
20910
Half Precision Score
8455
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ScottWirt |
| Upload Date | November 20 2025 04:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D89 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 CARBON WIFI (MS-7D89) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5377
999.9 IPS |
|
|
Image Classification (HP)
|
100% |
8949
1.66 KIPS |
|
|
Image Classification (Q)
|
99% |
4094
763.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7781
126.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10806
175.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6269
101.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
59496
69.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
196802
229.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
49085
57.5 IPS |
|
|
Object Detection (SP)
|
100% |
6016
477.2 IPS |
|
|
Object Detection (HP)
|
100% |
10105
801.5 IPS |
|
|
Object Detection (Q)
|
84% |
4740
382.3 IPS |
|
|
Face Detection (SP)
|
100% |
14011
166.5 IPS |
|
|
Face Detection (HP)
|
100% |
22430
266.5 IPS |
|
|
Face Detection (Q)
|
97% |
11197
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
31442
242.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
57872
445.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
21715
173.8 IPS |
|
|
Style Transfer (SP)
|
100% |
107260
137.9 IPS |
|
|
Style Transfer (HP)
|
100% |
248245
319.1 IPS |
|
|
Style Transfer (Q)
|
98% |
85816
110.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17568
648.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29344
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10853
401.9 IPS |
|
|
Text Classification (SP)
|
100% |
1934
2.58 KIPS |
|
|
Text Classification (HP)
|
99% |
2998
4.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1095
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2930
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2931
50.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1261
23.6 IPS |
