MSI MS-7A68
Geekbench AI Score
18061
Single Precision Score
19374
Half Precision Score
13800
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kducarmont |
| Upload Date | January 31 2025 10:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6750 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MSI MS-7A68 |
| Motherboard | MSI Z270 TOMAHAWK ARCTIC (MS-7A68) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8527
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
6316
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
6707
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10578
171.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9043
146.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9293
151.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
107062
124.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
175269
204.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
96450
113.0 IPS |
|
|
Object Detection (SP)
|
100% |
8288
657.4 IPS |
|
|
Object Detection (HP)
|
100% |
6699
531.4 IPS |
|
|
Object Detection (Q)
|
87% |
7025
564.2 IPS |
|
|
Face Detection (SP)
|
100% |
23943
284.5 IPS |
|
|
Face Detection (HP)
|
100% |
26096
310.1 IPS |
|
|
Face Detection (Q)
|
97% |
19154
228.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
46612
359.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52199
402.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
33985
272.9 IPS |
|
|
Style Transfer (SP)
|
100% |
212288
272.9 IPS |
|
|
Style Transfer (HP)
|
100% |
264583
340.1 IPS |
|
|
Style Transfer (Q)
|
98% |
165799
213.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31631
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41023
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21340
790.2 IPS |
|
|
Text Classification (SP)
|
100% |
1944
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1361
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1893
35.5 IPS |
