Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
25042
Single Precision Score
28773
Half Precision Score
20794
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | February 22 2025 12:44 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A DDR4 II (MS-7D99) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11305
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
11972
2.23 KIPS |
|
|
Image Classification (Q)
|
99% |
10225
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14638
237.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12471
202.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13252
215.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
169383
197.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
251298
293.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
153615
179.9 IPS |
|
|
Object Detection (SP)
|
100% |
12499
991.4 IPS |
|
|
Object Detection (HP)
|
99% |
13520
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
11166
896.8 IPS |
|
|
Face Detection (SP)
|
100% |
31521
374.5 IPS |
|
|
Face Detection (HP)
|
100% |
34867
414.3 IPS |
|
|
Face Detection (Q)
|
97% |
29844
355.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
65567
505.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78002
601.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
52983
424.6 IPS |
|
|
Style Transfer (SP)
|
100% |
298771
384.1 IPS |
|
|
Style Transfer (HP)
|
100% |
442561
568.9 IPS |
|
|
Style Transfer (Q)
|
98% |
271206
349.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33891
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46854
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27821
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
3553
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2355
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3827
65.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2315
43.4 IPS |
