MSI MS-7885
Geekbench AI Score
2790
Single Precision Score
2907
Half Precision Score
3134
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | quantumgroove |
| Upload Date | April 01 2026 01:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-5820K CPU @ 3.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7885 |
| Motherboard | MSI X99S SLI PLUS (MS-7885) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-5820K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1758
327.0 IPS |
|
|
Image Classification (HP)
|
100% |
1799
334.5 IPS |
|
|
Image Classification (Q)
|
100% |
1973
367.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2556
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3481
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3269
3.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
4553
5.34 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (HP)
|
100% |
1729
137.1 IPS |
|
|
Object Detection (Q)
|
87% |
1904
152.7 IPS |
|
|
Face Detection (SP)
|
100% |
3807
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
3846
45.7 IPS |
|
|
Face Detection (Q)
|
97% |
5978
71.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4235
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4389
33.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
5537
43.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11303
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11382
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
13923
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2389
88.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2812
104.1 IPS |
|
|
Text Classification (SP)
|
100% |
1693
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1803
2.41 KIPS |
|
|
Text Classification (Q)
|
91% |
662
890.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2395
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2436
42.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2440
42.0 IPS |
