Micro-Star International Co., Ltd. MS-7C34
Geekbench AI Score
40710
Single Precision Score
57720
Half Precision Score
30812
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | scaught |
| Upload Date | March 17 2026 07:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C34 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 GODLIKE (MS-7C34) |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14320
2.66 KIPS |
|
|
Image Classification (HP)
|
100% |
17546
3.26 KIPS |
|
|
Image Classification (Q)
|
100% |
12610
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28789
466.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
34787
563.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
26184
425.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
384376
448.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
894892
1.04 KIPS |
|
|
Pose Estimation (Q)
|
96% |
306913
359.5 IPS |
|
|
Object Detection (SP)
|
100% |
20140
1.60 KIPS |
|
|
Object Detection (HP)
|
100% |
24761
1.96 KIPS |
|
|
Object Detection (Q)
|
85% |
16830
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
62429
741.8 IPS |
|
|
Face Detection (HP)
|
100% |
79391
943.3 IPS |
|
|
Face Detection (Q)
|
97% |
50528
602.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
100851
777.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
171961
1.32 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72893
583.8 IPS |
|
|
Style Transfer (SP)
|
100% |
556592
715.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1430224
1.84 KIPS |
|
|
Style Transfer (Q)
|
98% |
470335
606.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62614
2.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78584
2.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46800
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3058
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3435
4.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1987
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5839
100.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5758
99.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2808
52.7 IPS |
