Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
23966
Single Precision Score
39540
Half Precision Score
13550
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 07:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI (MS-7D91) |
| 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% |
9500
1.77 KIPS |
|
|
Image Classification (HP)
|
99% |
15472
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
6142
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17206
278.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
26461
429.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12276
199.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
131797
153.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
371690
433.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
100179
117.4 IPS |
|
|
Object Detection (SP)
|
100% |
11901
944.0 IPS |
|
|
Object Detection (HP)
|
100% |
18928
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
7604
611.7 IPS |
|
|
Face Detection (SP)
|
100% |
31086
369.4 IPS |
|
|
Face Detection (HP)
|
100% |
49632
589.7 IPS |
|
|
Face Detection (Q)
|
97% |
18711
223.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
56434
434.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
108737
837.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
34039
272.7 IPS |
|
|
Style Transfer (SP)
|
100% |
240422
309.1 IPS |
|
|
Style Transfer (HP)
|
100% |
593191
762.6 IPS |
|
|
Style Transfer (Q)
|
98% |
170230
219.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37029
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49133
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18657
690.9 IPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4310
5.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1410
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4829
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4784
82.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1274
23.9 IPS |
