Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
32499
Single Precision Score
46384
Half Precision Score
24871
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | BlackMagic |
| Upload Date | March 05 2025 03:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft 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) |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12618
2.35 KIPS |
|
|
Image Classification (HP)
|
99% |
17918
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10847
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19634
318.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24269
393.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18141
295.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
251865
293.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
466624
544.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
227500
266.4 IPS |
|
|
Object Detection (SP)
|
100% |
16279
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
22030
1.75 KIPS |
|
|
Object Detection (Q)
|
89% |
13971
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
41282
490.5 IPS |
|
|
Face Detection (HP)
|
100% |
51422
611.0 IPS |
|
|
Face Detection (Q)
|
97% |
34829
415.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
80016
616.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
139160
1.07 KIPS |
|
|
Depth Estimation (Q)
|
70% |
58049
486.2 IPS |
|
|
Style Transfer (SP)
|
100% |
380179
488.7 IPS |
|
|
Style Transfer (HP)
|
100% |
858608
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
339282
437.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55350
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74341
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42200
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3876
5.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4807
6.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2353
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4804
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4697
80.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2126
47.4 IPS |
