Micro-Star International Co., Ltd. MS-7D36
Geekbench AI Score
30457
Single Precision Score
32883
Half Precision Score
23034
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 03:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D36 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-P DDR4 (MS-7D36) |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14129
2.63 KIPS |
|
|
Image Classification (HP)
|
100% |
13386
2.49 KIPS |
|
|
Image Classification (Q)
|
99% |
11325
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16980
275.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14319
232.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14407
234.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
199747
233.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
298121
347.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
168509
197.4 IPS |
|
|
Object Detection (SP)
|
100% |
14283
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
13971
1.11 KIPS |
|
|
Object Detection (Q)
|
87% |
11490
922.8 IPS |
|
|
Face Detection (SP)
|
100% |
36888
438.3 IPS |
|
|
Face Detection (HP)
|
100% |
39149
465.2 IPS |
|
|
Face Detection (Q)
|
97% |
29682
353.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
77029
593.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
81316
626.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
57843
464.5 IPS |
|
|
Style Transfer (SP)
|
100% |
357178
459.2 IPS |
|
|
Style Transfer (HP)
|
100% |
490902
631.1 IPS |
|
|
Style Transfer (Q)
|
98% |
284475
366.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45190
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51822
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32591
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4651
6.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4792
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2943
3.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4705
81.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4771
82.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2842
53.3 IPS |
