Micro-Star International Co., Ltd. MS-7B79
Geekbench AI Score
7626
Single Precision Score
8222
Half Precision Score
5268
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 11:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B79 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PLUS MAX (MS-7B79) |
| Power Plan | Ultimativne performanse |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.28 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2789
518.7 IPS |
|
|
Image Classification (HP)
|
100% |
3286
611.1 IPS |
|
|
Image Classification (Q)
|
99% |
2193
409.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3909
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4238
68.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3256
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
51837
60.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
54579
63.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
42197
49.4 IPS |
|
|
Object Detection (SP)
|
100% |
3202
254.0 IPS |
|
|
Object Detection (HP)
|
100% |
3431
272.1 IPS |
|
|
Object Detection (Q)
|
89% |
2459
196.9 IPS |
|
|
Face Detection (SP)
|
100% |
8539
101.5 IPS |
|
|
Face Detection (HP)
|
100% |
10540
125.2 IPS |
|
|
Face Detection (Q)
|
97% |
6350
75.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18393
141.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20642
159.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
12953
103.9 IPS |
|
|
Style Transfer (SP)
|
100% |
82602
106.2 IPS |
|
|
Style Transfer (HP)
|
100% |
91858
118.1 IPS |
|
|
Style Transfer (Q)
|
98% |
63885
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11944
441.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13017
480.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7549
279.5 IPS |
|
|
Text Classification (SP)
|
100% |
1162
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1020
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
701
938.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2043
35.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2041
35.3 IPS |
|
|
Machine Translation (Q)
|
60% |
800
18.0 IPS |
