Micro-Star International Co., Ltd. MS-7D30
Geekbench AI Score
23045
Single Precision Score
25542
Half Precision Score
17793
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 14 2026 05:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D30 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 CARBON WIFI (MS-7D30) |
| Power Plan | jaes |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10168
1.89 KIPS |
|
|
Image Classification (HP)
|
100% |
10088
1.88 KIPS |
|
|
Image Classification (Q)
|
100% |
8636
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15923
258.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12041
195.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12820
208.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
127801
149.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
202133
235.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
107212
125.6 IPS |
|
|
Object Detection (SP)
|
100% |
10525
834.9 IPS |
|
|
Object Detection (HP)
|
100% |
9306
738.1 IPS |
|
|
Object Detection (Q)
|
87% |
9005
723.2 IPS |
|
|
Face Detection (SP)
|
100% |
31519
374.5 IPS |
|
|
Face Detection (HP)
|
100% |
35128
417.4 IPS |
|
|
Face Detection (Q)
|
97% |
24596
293.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
53715
413.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
63807
491.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
40372
324.2 IPS |
|
|
Style Transfer (SP)
|
100% |
227203
292.1 IPS |
|
|
Style Transfer (HP)
|
100% |
287295
369.3 IPS |
|
|
Style Transfer (Q)
|
98% |
183322
236.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37699
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45001
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26262
972.4 IPS |
|
|
Text Classification (SP)
|
100% |
2877
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3742
5.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2061
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4651
80.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4770
82.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3020
56.6 IPS |
