Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
39303
Single Precision Score
46357
Half Precision Score
30338
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| User | MikeSW17 |
| Upload Date | September 12 2025 11:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16498
3.07 KIPS |
|
|
Image Classification (HP)
|
100% |
17976
3.34 KIPS |
|
|
Image Classification (Q)
|
99% |
14171
2.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27047
438.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24285
393.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
24488
398.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
296368
345.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
521559
608.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
258484
302.8 IPS |
|
|
Object Detection (SP)
|
100% |
19790
1.57 KIPS |
|
|
Object Detection (HP)
|
99% |
20672
1.64 KIPS |
|
|
Object Detection (Q)
|
87% |
16318
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
51911
616.8 IPS |
|
|
Face Detection (HP)
|
100% |
57697
685.6 IPS |
|
|
Face Detection (Q)
|
97% |
44739
533.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
78126
601.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
102620
790.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
62131
497.9 IPS |
|
|
Style Transfer (SP)
|
100% |
475520
611.3 IPS |
|
|
Style Transfer (HP)
|
100% |
732140
941.2 IPS |
|
|
Style Transfer (Q)
|
98% |
414417
534.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55043
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70228
2.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42044
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4743
6.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4613
6.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2912
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
6676
115.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6935
119.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3200
60.0 IPS |
