MSI MS-7A12
Geekbench AI Score
18820
Single Precision Score
29333
Half Precision Score
15197
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ScottWirt |
| Upload Date | November 20 2025 04:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7A12 |
| Motherboard | MSI Z170A GAMING PRO CARBON (MS-7A12) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7989
1.49 KIPS |
|
|
Image Classification (HP)
|
99% |
11665
2.18 KIPS |
|
|
Image Classification (Q)
|
99% |
7269
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10942
177.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13433
217.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10180
165.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
109763
128.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
324779
379.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
97438
114.2 IPS |
|
|
Object Detection (SP)
|
100% |
9309
738.4 IPS |
|
|
Object Detection (HP)
|
100% |
14028
1.11 KIPS |
|
|
Object Detection (Q)
|
85% |
8259
664.9 IPS |
|
|
Face Detection (SP)
|
100% |
21512
255.6 IPS |
|
|
Face Detection (HP)
|
100% |
30798
365.9 IPS |
|
|
Face Detection (Q)
|
97% |
19534
232.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
51196
394.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
90113
694.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
41369
331.2 IPS |
|
|
Style Transfer (SP)
|
100% |
189275
243.3 IPS |
|
|
Style Transfer (HP)
|
100% |
424752
546.0 IPS |
|
|
Style Transfer (Q)
|
98% |
170616
220.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31594
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47096
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24261
898.4 IPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3629
4.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1925
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1714
32.1 IPS |
