Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
37819
Single Precision Score
45607
Half Precision Score
30197
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | lingxue |
| Upload Date | October 23 2025 11:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS WIFI (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17204
3.20 KIPS |
|
|
Image Classification (HP)
|
100% |
18075
3.36 KIPS |
|
|
Image Classification (Q)
|
99% |
14788
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25663
416.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22906
371.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23273
378.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
279058
325.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
501883
585.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
246264
288.5 IPS |
|
|
Object Detection (SP)
|
100% |
18242
1.45 KIPS |
|
|
Object Detection (HP)
|
99% |
20440
1.62 KIPS |
|
|
Object Detection (Q)
|
87% |
15994
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
50811
603.7 IPS |
|
|
Face Detection (HP)
|
100% |
57266
680.4 IPS |
|
|
Face Detection (Q)
|
97% |
45053
537.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
84598
651.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
108144
833.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
69342
555.7 IPS |
|
|
Style Transfer (SP)
|
100% |
451176
580.0 IPS |
|
|
Style Transfer (HP)
|
100% |
700204
900.1 IPS |
|
|
Style Transfer (Q)
|
98% |
386959
499.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51091
1.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71812
2.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40872
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
4864
6.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4754
6.35 KIPS |
|
|
Text Classification (Q)
|
97% |
3120
4.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5526
95.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6193
106.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3017
56.6 IPS |
