Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
28355
Single Precision Score
39749
Half Precision Score
22406
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 11:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450 GAMING PLUS MAX (MS-7B86) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900XT 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11252
2.09 KIPS |
|
|
Image Classification (HP)
|
99% |
15205
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
9962
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17266
279.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20747
336.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15858
257.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
191972
224.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
445724
520.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
172291
201.9 IPS |
|
|
Object Detection (SP)
|
100% |
13728
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
18553
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
11736
944.0 IPS |
|
|
Face Detection (SP)
|
100% |
37442
444.9 IPS |
|
|
Face Detection (HP)
|
100% |
46177
548.7 IPS |
|
|
Face Detection (Q)
|
97% |
32443
386.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
78294
603.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
123229
952.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
60012
479.8 IPS |
|
|
Style Transfer (SP)
|
100% |
339214
436.1 IPS |
|
|
Style Transfer (HP)
|
100% |
740376
951.8 IPS |
|
|
Style Transfer (Q)
|
98% |
301189
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47061
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56563
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34714
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3034
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3526
4.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2022
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4623
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4492
77.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2426
45.5 IPS |
