Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
27764
Single Precision Score
30716
Half Precision Score
20509
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | September 20 2024 03:19 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D52 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570S CARBON MAX WIFI (MS-7D52) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12195
2.27 KIPS |
|
|
Image Classification (HP)
|
100% |
11611
2.16 KIPS |
|
|
Image Classification (Q)
|
100% |
9547
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18162
294.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15185
246.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15280
248.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
200229
233.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
301671
352.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
157126
184.1 IPS |
|
|
Object Detection (SP)
|
100% |
12125
961.8 IPS |
|
|
Object Detection (HP)
|
100% |
12121
961.4 IPS |
|
|
Object Detection (Q)
|
89% |
10139
811.9 IPS |
|
|
Face Detection (SP)
|
100% |
29500
350.5 IPS |
|
|
Face Detection (HP)
|
100% |
34562
410.7 IPS |
|
|
Face Detection (Q)
|
97% |
23196
276.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
65304
503.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78286
603.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
47954
391.5 IPS |
|
|
Style Transfer (SP)
|
100% |
355150
456.6 IPS |
|
|
Style Transfer (HP)
|
100% |
472697
607.7 IPS |
|
|
Style Transfer (Q)
|
98% |
288409
371.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42478
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48551
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30531
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3806
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
97% |
2508
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4577
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4759
82.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2307
51.5 IPS |
