MSI MS-7972
Geekbench AI Score
8583
Single Precision Score
11788
Half Precision Score
6365
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | matttripmaker |
| Upload Date | January 25 2025 12:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7972 |
| Motherboard | MSI Z170M MORTAR (MS-7972) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4073
757.4 IPS |
|
|
Image Classification (HP)
|
100% |
4333
805.9 IPS |
|
|
Image Classification (Q)
|
99% |
3091
576.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5706
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6293
102.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4932
80.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32568
38.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
139969
163.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
29754
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
4788
379.8 IPS |
|
|
Object Detection (HP)
|
100% |
4809
381.5 IPS |
|
|
Object Detection (Q)
|
84% |
3918
316.0 IPS |
|
|
Face Detection (SP)
|
100% |
10351
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
9723
115.5 IPS |
|
|
Face Detection (Q)
|
97% |
8842
105.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20533
158.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27352
210.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
15887
126.9 IPS |
|
|
Style Transfer (SP)
|
100% |
63109
81.1 IPS |
|
|
Style Transfer (HP)
|
100% |
184791
237.6 IPS |
|
|
Style Transfer (Q)
|
98% |
55524
71.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12469
460.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20490
756.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8658
320.6 IPS |
|
|
Text Classification (SP)
|
100% |
1603
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (Q)
|
97% |
830
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2012
34.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1096
20.6 IPS |
