Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
51521
Single Precision Score
76707
Half Precision Score
37454
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | June 05 2025 08:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI (MS-7D91) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
19021
3.54 KIPS |
|
|
Image Classification (HP)
|
100% |
24836
4.62 KIPS |
|
|
Image Classification (Q)
|
100% |
16235
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39447
639.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
49953
809.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
35421
576.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
426658
497.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
994304
1.16 KIPS |
|
|
Pose Estimation (Q)
|
96% |
343874
402.8 IPS |
|
|
Object Detection (SP)
|
100% |
25437
2.02 KIPS |
|
|
Object Detection (HP)
|
100% |
32789
2.60 KIPS |
|
|
Object Detection (Q)
|
85% |
20863
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
72995
867.3 IPS |
|
|
Face Detection (HP)
|
100% |
94801
1.13 KIPS |
|
|
Face Detection (Q)
|
97% |
58325
695.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
115179
887.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
207867
1.60 KIPS |
|
|
Depth Estimation (Q)
|
77% |
81519
652.9 IPS |
|
|
Style Transfer (SP)
|
100% |
644415
828.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1801150
2.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
536582
691.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
81275
3.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
109322
4.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57441
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
4729
6.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5684
7.59 KIPS |
|
|
Text Classification (Q)
|
97% |
2704
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
7772
133.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7906
136.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3323
62.3 IPS |
