Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
21792
Single Precision Score
24825
Half Precision Score
17598
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | February 22 2025 01:21 AM |
| Views | 4 |
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% |
9531
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
9920
1.84 KIPS |
|
|
Image Classification (Q)
|
99% |
8533
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14064
228.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11939
193.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12442
202.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
151036
176.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
215714
251.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
132272
154.9 IPS |
|
|
Object Detection (SP)
|
100% |
10285
815.8 IPS |
|
|
Object Detection (HP)
|
99% |
10958
869.2 IPS |
|
|
Object Detection (Q)
|
87% |
9293
746.3 IPS |
|
|
Face Detection (SP)
|
100% |
27788
330.2 IPS |
|
|
Face Detection (HP)
|
100% |
31873
378.7 IPS |
|
|
Face Detection (Q)
|
97% |
25746
307.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
56219
433.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
65942
508.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
44974
360.4 IPS |
|
|
Style Transfer (SP)
|
100% |
263637
338.9 IPS |
|
|
Style Transfer (HP)
|
100% |
396246
509.4 IPS |
|
|
Style Transfer (Q)
|
98% |
231266
298.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29722
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38988
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23693
877.3 IPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3050
4.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1821
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3217
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1890
35.5 IPS |
