Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
28086
Single Precision Score
36692
Half Precision Score
23494
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | April 19 2025 04:34 AM |
| Views | 4 |
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-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% |
12447
2.31 KIPS |
|
|
Image Classification (HP)
|
100% |
13916
2.59 KIPS |
|
|
Image Classification (Q)
|
99% |
10566
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15217
246.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16930
274.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13899
226.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
197779
230.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
510821
596.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
182810
214.1 IPS |
|
|
Object Detection (SP)
|
100% |
12381
982.0 IPS |
|
|
Object Detection (HP)
|
99% |
14916
1.18 KIPS |
|
|
Object Detection (Q)
|
87% |
10398
835.1 IPS |
|
|
Face Detection (SP)
|
100% |
32771
389.4 IPS |
|
|
Face Detection (HP)
|
100% |
36567
434.5 IPS |
|
|
Face Detection (Q)
|
97% |
30542
364.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
78411
604.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
109418
843.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
65446
524.5 IPS |
|
|
Style Transfer (SP)
|
100% |
359438
462.1 IPS |
|
|
Style Transfer (HP)
|
100% |
590808
759.5 IPS |
|
|
Style Transfer (Q)
|
98% |
326089
420.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44831
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62542
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36575
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
4288
5.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4556
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
3085
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3658
63.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2496
46.8 IPS |
