Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
23712
Single Precision Score
26928
Half Precision Score
16334
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | GaborP |
| Upload Date | October 03 2024 02:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9589
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
9968
1.85 KIPS |
|
|
Image Classification (Q)
|
100% |
7526
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14809
240.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12818
207.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12386
201.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
158773
185.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
251326
293.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
130318
152.7 IPS |
|
|
Object Detection (SP)
|
100% |
10398
824.7 IPS |
|
|
Object Detection (HP)
|
100% |
11300
896.3 IPS |
|
|
Object Detection (Q)
|
89% |
7880
631.0 IPS |
|
|
Face Detection (SP)
|
100% |
27201
323.2 IPS |
|
|
Face Detection (HP)
|
100% |
31230
371.1 IPS |
|
|
Face Detection (Q)
|
97% |
20780
247.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
56190
432.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
64928
500.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
40868
329.5 IPS |
|
|
Style Transfer (SP)
|
100% |
329880
424.1 IPS |
|
|
Style Transfer (HP)
|
100% |
421271
541.6 IPS |
|
|
Style Transfer (Q)
|
98% |
236364
304.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36522
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44494
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24924
922.9 IPS |
|
|
Text Classification (SP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1880
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3971
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4025
69.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1502
33.5 IPS |
