Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
18151
Single Precision Score
19213
Half Precision Score
13350
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | nickb64 |
| Upload Date | August 18 2024 06:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI DDR4 (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7286
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
5453
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
5525
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11019
178.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8923
144.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9374
152.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
111435
130.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
172010
200.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
93556
109.6 IPS |
|
|
Object Detection (SP)
|
100% |
8143
645.9 IPS |
|
|
Object Detection (HP)
|
100% |
7120
564.8 IPS |
|
|
Object Detection (Q)
|
89% |
6810
545.0 IPS |
|
|
Face Detection (SP)
|
100% |
22664
269.3 IPS |
|
|
Face Detection (HP)
|
100% |
24895
295.8 IPS |
|
|
Face Detection (Q)
|
97% |
16958
202.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
44425
342.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
52153
401.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
32371
264.3 IPS |
|
|
Style Transfer (SP)
|
100% |
196511
252.6 IPS |
|
|
Style Transfer (HP)
|
100% |
248049
318.9 IPS |
|
|
Style Transfer (Q)
|
98% |
163849
211.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30395
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35286
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22598
836.8 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2556
3.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1369
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3809
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3960
68.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1959
43.7 IPS |
