Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
35623
Single Precision Score
40929
Half Precision Score
27873
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | February 05 2026 05:41 AM |
| Views | 4 |
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-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14374
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
14236
2.65 KIPS |
|
|
Image Classification (Q)
|
99% |
11992
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26013
421.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22649
367.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
22977
373.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
280109
326.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
500342
583.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
246297
288.5 IPS |
|
|
Object Detection (SP)
|
100% |
17697
1.40 KIPS |
|
|
Object Detection (HP)
|
99% |
17653
1.40 KIPS |
|
|
Object Detection (Q)
|
87% |
15482
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
49039
582.7 IPS |
|
|
Face Detection (HP)
|
100% |
56214
667.9 IPS |
|
|
Face Detection (Q)
|
97% |
43156
514.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
77134
594.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
89076
686.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
67359
539.8 IPS |
|
|
Style Transfer (SP)
|
100% |
447338
575.1 IPS |
|
|
Style Transfer (HP)
|
100% |
699279
898.9 IPS |
|
|
Style Transfer (Q)
|
98% |
393969
508.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49864
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61759
2.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39801
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
3746
5.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3463
4.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2259
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5618
96.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6186
106.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2617
49.1 IPS |
