Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
26462
Single Precision Score
39801
Half Precision Score
20922
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Isochrone |
| Upload Date | January 25 2026 05:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B89 |
| Motherboard | Micro-Star International Co., Ltd. B450M MORTAR MAX (MS-7B89) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10829
2.01 KIPS |
|
|
Image Classification (HP)
|
99% |
15202
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
9665
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17511
283.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22148
359.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15861
257.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
154704
180.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
409530
477.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
140917
165.1 IPS |
|
|
Object Detection (SP)
|
100% |
13031
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
18941
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
11239
904.8 IPS |
|
|
Face Detection (SP)
|
100% |
34828
413.8 IPS |
|
|
Face Detection (HP)
|
100% |
46702
554.9 IPS |
|
|
Face Detection (Q)
|
97% |
30853
367.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
68730
529.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
119902
926.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
53960
431.4 IPS |
|
|
Style Transfer (SP)
|
100% |
275162
353.7 IPS |
|
|
Style Transfer (HP)
|
100% |
662668
851.9 IPS |
|
|
Style Transfer (Q)
|
98% |
242774
313.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44358
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57846
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32657
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3136
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3714
4.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2031
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4808
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4792
82.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2470
46.3 IPS |
