Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
38029
Single Precision Score
45194
Half Precision Score
29449
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jasin55 |
| Upload Date | July 26 2025 12:28 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16000
2.98 KIPS |
|
|
Image Classification (HP)
|
100% |
16555
3.08 KIPS |
|
|
Image Classification (Q)
|
99% |
12962
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26333
426.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23551
381.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
23887
388.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
284499
332.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
506423
590.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
246584
288.8 IPS |
|
|
Object Detection (SP)
|
100% |
18311
1.45 KIPS |
|
|
Object Detection (HP)
|
99% |
19712
1.56 KIPS |
|
|
Object Detection (Q)
|
87% |
14961
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
49682
590.3 IPS |
|
|
Face Detection (HP)
|
100% |
59824
710.8 IPS |
|
|
Face Detection (Q)
|
97% |
43434
517.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
84661
652.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103803
799.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
67913
544.2 IPS |
|
|
Style Transfer (SP)
|
100% |
451105
579.9 IPS |
|
|
Style Transfer (HP)
|
100% |
701486
901.8 IPS |
|
|
Style Transfer (Q)
|
98% |
391865
505.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50222
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66427
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39383
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
4626
6.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4714
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2906
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
6540
112.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6697
115.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3247
60.9 IPS |
