Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
25705
Single Precision Score
39338
Half Precision Score
22098
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | ssk_ats |
| Upload Date | August 31 2025 06:46 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| 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% |
12359
2.30 KIPS |
|
|
Image Classification (HP)
|
100% |
15632
2.91 KIPS |
|
|
Image Classification (Q)
|
100% |
12028
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11969
194.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14872
241.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16549
269.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
135807
158.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
448209
523.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
119985
140.5 IPS |
|
|
Object Detection (SP)
|
100% |
10866
861.9 IPS |
|
|
Object Detection (HP)
|
99% |
16300
1.29 KIPS |
|
|
Object Detection (Q)
|
87% |
10120
812.8 IPS |
|
|
Face Detection (SP)
|
100% |
32493
386.1 IPS |
|
|
Face Detection (HP)
|
100% |
46356
550.8 IPS |
|
|
Face Detection (Q)
|
97% |
28163
335.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
67541
520.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95884
738.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
56234
451.0 IPS |
|
|
Style Transfer (SP)
|
100% |
248335
319.2 IPS |
|
|
Style Transfer (HP)
|
100% |
487002
626.0 IPS |
|
|
Style Transfer (Q)
|
98% |
210598
271.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39876
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75178
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33677
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
4202
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4832
6.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2985
4.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
6319
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6645
114.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3427
64.3 IPS |
