Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
33980
Single Precision Score
46479
Half Precision Score
29781
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 29 2025 06:19 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E30 |
| Motherboard | Micro-Star International Co., Ltd. B650M GAMING WIFI (MS-7E30) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16206
3.01 KIPS |
|
|
Image Classification (HP)
|
100% |
18206
3.39 KIPS |
|
|
Image Classification (Q)
|
99% |
15223
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16489
267.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18803
304.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20075
326.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
212860
248.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
633361
739.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
192254
225.2 IPS |
|
|
Object Detection (SP)
|
100% |
17300
1.37 KIPS |
|
|
Object Detection (HP)
|
99% |
20344
1.61 KIPS |
|
|
Object Detection (Q)
|
87% |
16041
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
45540
541.1 IPS |
|
|
Face Detection (HP)
|
100% |
53552
636.3 IPS |
|
|
Face Detection (Q)
|
97% |
43277
516.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
87871
677.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
129402
997.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
73186
586.5 IPS |
|
|
Style Transfer (SP)
|
100% |
395441
508.3 IPS |
|
|
Style Transfer (HP)
|
100% |
718540
923.7 IPS |
|
|
Style Transfer (Q)
|
98% |
361198
465.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53205
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85262
3.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44839
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
4438
5.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4410
5.89 KIPS |
|
|
Text Classification (Q)
|
97% |
3244
4.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5583
96.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5698
98.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3500
65.7 IPS |
