Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
22114
Single Precision Score
24593
Half Precision Score
16617
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 03:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 |
| 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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9814
1.83 KIPS |
|
|
Image Classification (HP)
|
100% |
9570
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
7806
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13218
214.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10395
168.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10951
178.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
136764
159.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
210355
245.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
115984
135.9 IPS |
|
|
Object Detection (SP)
|
100% |
10079
799.4 IPS |
|
|
Object Detection (HP)
|
100% |
10583
839.5 IPS |
|
|
Object Detection (Q)
|
89% |
8021
642.4 IPS |
|
|
Face Detection (SP)
|
100% |
28838
342.7 IPS |
|
|
Face Detection (HP)
|
100% |
30692
364.7 IPS |
|
|
Face Detection (Q)
|
97% |
21627
257.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
55826
430.1 IPS |
|
|
Depth Estimation (HP)
|
91% |
60835
472.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
41578
335.2 IPS |
|
|
Style Transfer (SP)
|
100% |
269216
346.1 IPS |
|
|
Style Transfer (HP)
|
100% |
362679
466.2 IPS |
|
|
Style Transfer (Q)
|
98% |
214547
276.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36579
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43165
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26369
976.4 IPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3040
4.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1811
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4077
70.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4113
70.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2192
48.9 IPS |
