Micro-Star International Co., Ltd. MS-7E48
Geekbench AI Score
35899
Single Precision Score
52618
Half Precision Score
31310
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | February 21 2026 10:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E48 |
| Motherboard | Micro-Star International Co., Ltd. MEG X870E GODLIKE (MS-7E48) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17080
3.18 KIPS |
|
|
Image Classification (HP)
|
100% |
20245
3.76 KIPS |
|
|
Image Classification (Q)
|
99% |
16419
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19351
313.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22790
369.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
25019
406.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
193531
225.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
635300
741.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
181155
212.2 IPS |
|
|
Object Detection (SP)
|
100% |
15597
1.24 KIPS |
|
|
Object Detection (HP)
|
99% |
22361
1.77 KIPS |
|
|
Object Detection (Q)
|
87% |
14459
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
55486
659.3 IPS |
|
|
Face Detection (HP)
|
100% |
66897
794.9 IPS |
|
|
Face Detection (Q)
|
97% |
48955
583.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
86714
668.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
137152
1.06 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73193
586.6 IPS |
|
|
Style Transfer (SP)
|
100% |
369986
475.6 IPS |
|
|
Style Transfer (HP)
|
100% |
702931
903.6 IPS |
|
|
Style Transfer (Q)
|
98% |
340350
438.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52758
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90580
3.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44554
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
5126
6.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
97% |
3706
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
7403
127.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7554
130.1 IPS |
|
|
Machine Translation (Q)
|
70% |
4180
78.4 IPS |
