Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
37854
Single Precision Score
51675
Half Precision Score
28544
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | May 28 2025 08:26 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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% |
14381
2.67 KIPS |
|
|
Image Classification (HP)
|
99% |
19319
3.60 KIPS |
|
|
Image Classification (Q)
|
100% |
12276
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21746
352.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
26402
428.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19802
322.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
309829
361.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
522857
610.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
266346
312.1 IPS |
|
|
Object Detection (SP)
|
100% |
18879
1.50 KIPS |
|
|
Object Detection (HP)
|
100% |
24441
1.94 KIPS |
|
|
Object Detection (Q)
|
86% |
15681
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
50453
599.5 IPS |
|
|
Face Detection (HP)
|
100% |
62263
739.8 IPS |
|
|
Face Detection (Q)
|
97% |
42834
510.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
97243
749.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
157288
1.21 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71003
567.9 IPS |
|
|
Style Transfer (SP)
|
100% |
551076
708.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1048452
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
468180
603.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60778
2.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81503
3.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44739
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3888
5.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4891
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2241
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5170
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5090
87.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2478
46.5 IPS |
