Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
33908
Single Precision Score
49690
Half Precision Score
29887
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | napostriouf |
| Upload Date | June 11 2025 11:19 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15387
2.86 KIPS |
|
|
Image Classification (HP)
|
100% |
18730
3.48 KIPS |
|
|
Image Classification (Q)
|
99% |
14216
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16875
273.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19509
316.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21516
349.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
214989
250.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
669275
780.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
197916
231.8 IPS |
|
|
Object Detection (SP)
|
100% |
14152
1.12 KIPS |
|
|
Object Detection (HP)
|
99% |
21183
1.68 KIPS |
|
|
Object Detection (Q)
|
87% |
14247
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
49839
592.2 IPS |
|
|
Face Detection (HP)
|
100% |
57988
689.0 IPS |
|
|
Face Detection (Q)
|
97% |
46195
550.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
83585
644.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
132804
1.02 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70292
563.3 IPS |
|
|
Style Transfer (SP)
|
100% |
375891
483.2 IPS |
|
|
Style Transfer (HP)
|
100% |
765257
983.7 IPS |
|
|
Style Transfer (Q)
|
98% |
344219
443.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56012
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88110
3.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46581
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
4623
6.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5396
7.20 KIPS |
|
|
Text Classification (Q)
|
97% |
3325
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
6273
108.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6323
108.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3809
71.4 IPS |
