Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
34408
Single Precision Score
44150
Half Precision Score
25466
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 12:16 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 6000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| Power Plan | UoA-Power Plan-Peak-System on and monitor on |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13234
2.46 KIPS |
|
|
Image Classification (HP)
|
100% |
13783
2.56 KIPS |
|
|
Image Classification (Q)
|
100% |
11205
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23002
372.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
26375
427.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21044
342.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
251610
293.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
580975
677.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
227980
267.1 IPS |
|
|
Object Detection (SP)
|
100% |
17612
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
19381
1.54 KIPS |
|
|
Object Detection (Q)
|
86% |
14636
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
48377
574.8 IPS |
|
|
Face Detection (HP)
|
100% |
59625
708.5 IPS |
|
|
Face Detection (Q)
|
97% |
40618
484.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
73090
563.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
106426
822.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
52168
417.6 IPS |
|
|
Style Transfer (SP)
|
100% |
451561
580.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1016476
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
385139
496.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54209
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62465
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37855
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2087
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5577
96.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5251
90.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2262
42.4 IPS |
