Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
26835
Single Precision Score
41286
Half Precision Score
15694
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Diagonal |
| Upload Date | December 28 2025 08:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E62 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850 TOMAHAWK MAX WIFI (MS-7E62) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10348
1.92 KIPS |
|
|
Image Classification (HP)
|
99% |
14538
2.71 KIPS |
|
|
Image Classification (Q)
|
100% |
6778
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19440
315.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
29200
473.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13455
218.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
171662
200.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
367654
429.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
128485
150.5 IPS |
|
|
Object Detection (SP)
|
100% |
13784
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
20256
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
8928
718.2 IPS |
|
|
Face Detection (SP)
|
100% |
37401
444.4 IPS |
|
|
Face Detection (HP)
|
100% |
55512
659.6 IPS |
|
|
Face Detection (Q)
|
97% |
23554
280.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
61527
474.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110108
848.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
36249
290.3 IPS |
|
|
Style Transfer (SP)
|
100% |
279729
359.6 IPS |
|
|
Style Transfer (HP)
|
100% |
665986
856.1 IPS |
|
|
Style Transfer (Q)
|
98% |
191839
247.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40350
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57120
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22180
821.3 IPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3853
5.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1481
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5193
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5081
87.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1611
30.2 IPS |
