Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
40861
Single Precision Score
58025
Half Precision Score
30849
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | June 04 2025 07:13 PM |
| Views | 16 |
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% |
15222
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
18959
3.53 KIPS |
|
|
Image Classification (Q)
|
100% |
13095
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26784
434.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
31627
512.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
24653
400.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
385477
449.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
849696
991.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
310793
364.0 IPS |
|
|
Object Detection (SP)
|
100% |
19147
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
23372
1.85 KIPS |
|
|
Object Detection (Q)
|
85% |
16264
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
51057
606.7 IPS |
|
|
Face Detection (HP)
|
100% |
62081
737.7 IPS |
|
|
Face Detection (Q)
|
97% |
43000
512.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
102831
792.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
181001
1.39 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73586
589.4 IPS |
|
|
Style Transfer (SP)
|
100% |
567586
729.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1461611
1.88 KIPS |
|
|
Style Transfer (Q)
|
98% |
479388
618.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67672
2.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87075
3.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49601
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3810
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4548
6.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2286
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5612
96.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5587
96.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2782
52.2 IPS |
