Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
30648
Single Precision Score
33551
Half Precision Score
23078
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | r1348 |
| Upload Date | March 06 2025 10:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12984
2.41 KIPS |
|
|
Image Classification (HP)
|
100% |
12640
2.35 KIPS |
|
|
Image Classification (Q)
|
99% |
10253
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19253
312.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15910
257.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16412
266.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
199559
232.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
312195
364.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
167333
196.1 IPS |
|
|
Object Detection (SP)
|
100% |
14082
1.12 KIPS |
|
|
Object Detection (HP)
|
100% |
14258
1.13 KIPS |
|
|
Object Detection (Q)
|
87% |
11881
954.2 IPS |
|
|
Face Detection (SP)
|
100% |
39503
469.4 IPS |
|
|
Face Detection (HP)
|
100% |
43400
515.7 IPS |
|
|
Face Detection (Q)
|
97% |
31569
376.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
72208
556.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78889
607.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
53680
431.0 IPS |
|
|
Style Transfer (SP)
|
100% |
364147
468.1 IPS |
|
|
Style Transfer (HP)
|
100% |
484214
622.5 IPS |
|
|
Style Transfer (Q)
|
98% |
289321
373.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43403
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50103
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30663
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
4349
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4428
5.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2768
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5310
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5491
94.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3079
57.8 IPS |
