Micro-Star International Co., Ltd. MS-7B98
Geekbench AI Score
16743
Single Precision Score
18514
Half Precision Score
13081
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | khancool96 |
| Upload Date | December 12 2024 05:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6750 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B98 |
| Motherboard | Micro-Star International Co., Ltd. Z390-A PRO (MS-7B98) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7814
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7277
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
6727
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9542
154.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8069
130.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8439
137.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
114421
133.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
173098
202.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
95206
111.6 IPS |
|
|
Object Detection (SP)
|
100% |
7958
631.3 IPS |
|
|
Object Detection (HP)
|
100% |
7002
555.4 IPS |
|
|
Object Detection (Q)
|
87% |
6692
537.5 IPS |
|
|
Face Detection (SP)
|
100% |
22678
269.5 IPS |
|
|
Face Detection (HP)
|
100% |
23534
279.6 IPS |
|
|
Face Detection (Q)
|
97% |
18178
216.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44480
342.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51287
395.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
33211
266.7 IPS |
|
|
Style Transfer (SP)
|
100% |
203031
261.0 IPS |
|
|
Style Transfer (HP)
|
100% |
251155
322.9 IPS |
|
|
Style Transfer (Q)
|
98% |
160485
206.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27861
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37693
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19990
740.2 IPS |
|
|
Text Classification (SP)
|
100% |
1887
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1192
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2369
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2563
44.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1757
33.0 IPS |
