Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
38825
Single Precision Score
45767
Half Precision Score
30036
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | linuxid10t |
| Upload Date | June 05 2025 01:39 PM |
| Views | 10 |
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-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16544
3.08 KIPS |
|
|
Image Classification (HP)
|
100% |
17573
3.27 KIPS |
|
|
Image Classification (Q)
|
99% |
13888
2.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26650
432.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22890
371.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
23802
387.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
279342
325.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
505918
590.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
245511
287.6 IPS |
|
|
Object Detection (SP)
|
100% |
17625
1.40 KIPS |
|
|
Object Detection (HP)
|
99% |
19723
1.56 KIPS |
|
|
Object Detection (Q)
|
87% |
15513
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
56430
670.5 IPS |
|
|
Face Detection (HP)
|
100% |
66966
795.7 IPS |
|
|
Face Detection (Q)
|
97% |
47889
571.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
84414
650.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99352
765.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
67535
541.2 IPS |
|
|
Style Transfer (SP)
|
100% |
453736
583.3 IPS |
|
|
Style Transfer (HP)
|
100% |
706243
907.9 IPS |
|
|
Style Transfer (Q)
|
98% |
393591
507.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51959
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69425
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41639
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
4754
6.35 KIPS |
|
|
Text Classification (HP)
|
100% |
4513
6.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2891
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
6716
115.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6824
117.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3098
58.1 IPS |
