Micro-Star International Co., Ltd. MS-7B79
Geekbench AI Score
28280
Single Precision Score
45248
Half Precision Score
22107
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Bret17 |
| Upload Date | October 29 2025 04:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B79 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PLUS (MS-7B79) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11553
2.15 KIPS |
|
|
Image Classification (HP)
|
100% |
16006
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
10416
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19574
317.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25436
412.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17256
280.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
168678
196.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
623319
727.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
152362
178.5 IPS |
|
|
Object Detection (SP)
|
100% |
14187
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
20931
1.66 KIPS |
|
|
Object Detection (Q)
|
86% |
12392
995.6 IPS |
|
|
Face Detection (SP)
|
100% |
42372
503.5 IPS |
|
|
Face Detection (HP)
|
100% |
56079
666.3 IPS |
|
|
Face Detection (Q)
|
97% |
35468
422.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
80504
620.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
134765
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61051
487.5 IPS |
|
|
Style Transfer (SP)
|
100% |
299892
385.5 IPS |
|
|
Style Transfer (HP)
|
100% |
871595
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
250032
322.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40696
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61479
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32319
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2860
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3357
4.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1949
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5079
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4982
85.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2410
45.2 IPS |
