Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
15322
Single Precision Score
17751
Half Precision Score
11600
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | superben_gg |
| Upload Date | August 17 2024 03:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6650 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE (MS-7D86) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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% |
6752
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
7082
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
5524
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9219
149.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7595
123.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7938
129.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
85767
100.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
140945
164.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
73275
85.9 IPS |
|
|
Object Detection (SP)
|
100% |
5804
460.4 IPS |
|
|
Object Detection (HP)
|
100% |
7306
579.5 IPS |
|
|
Object Detection (Q)
|
89% |
5030
402.6 IPS |
|
|
Face Detection (SP)
|
100% |
17235
204.8 IPS |
|
|
Face Detection (HP)
|
100% |
20095
238.8 IPS |
|
|
Face Detection (Q)
|
97% |
13144
156.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
39756
306.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
48200
371.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
29933
244.4 IPS |
|
|
Style Transfer (SP)
|
100% |
174031
223.7 IPS |
|
|
Style Transfer (HP)
|
100% |
220736
283.8 IPS |
|
|
Style Transfer (Q)
|
98% |
142382
183.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27047
998.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31936
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19009
703.9 IPS |
|
|
Text Classification (SP)
|
100% |
2400
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1617
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2975
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3065
52.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1586
35.4 IPS |
