Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
20542
Single Precision Score
26104
Half Precision Score
17939
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | April 17 2025 02:15 AM |
| Views | 8 |
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% |
8181
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
9434
1.75 KIPS |
|
|
Image Classification (Q)
|
99% |
7884
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8370
135.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9632
156.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10844
176.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
179472
209.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
349837
408.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
170857
200.1 IPS |
|
|
Object Detection (SP)
|
100% |
8588
681.2 IPS |
|
|
Object Detection (HP)
|
99% |
10969
870.1 IPS |
|
|
Object Detection (Q)
|
87% |
8000
642.5 IPS |
|
|
Face Detection (SP)
|
100% |
25826
306.9 IPS |
|
|
Face Detection (HP)
|
100% |
29494
350.5 IPS |
|
|
Face Detection (Q)
|
97% |
24495
292.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
66444
511.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78236
602.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
56054
449.2 IPS |
|
|
Style Transfer (SP)
|
100% |
291512
374.7 IPS |
|
|
Style Transfer (HP)
|
100% |
396843
510.1 IPS |
|
|
Style Transfer (Q)
|
98% |
242430
312.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29554
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45119
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25143
931.0 IPS |
|
|
Text Classification (SP)
|
100% |
2857
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3285
4.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1882
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1876
35.2 IPS |
