MSI MS-7885
Geekbench AI Score
7749
Single Precision Score
7810
Half Precision Score
5798
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | quantumgroove |
| Upload Date | April 01 2026 01:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| 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% |
2054
382.1 IPS |
|
|
Image Classification (HP)
|
100% |
3291
612.0 IPS |
|
|
Image Classification (Q)
|
99% |
1838
342.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4731
76.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4522
73.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3970
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
57201
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31096
36.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
45149
52.9 IPS |
|
|
Object Detection (SP)
|
100% |
2652
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
4103
325.5 IPS |
|
|
Object Detection (Q)
|
84% |
2340
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
5236
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
7844
93.2 IPS |
|
|
Face Detection (Q)
|
97% |
4655
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17496
134.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16602
128.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
13470
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
91842
118.1 IPS |
|
|
Style Transfer (HP)
|
100% |
53132
68.3 IPS |
|
|
Style Transfer (Q)
|
98% |
70299
90.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15296
564.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12471
460.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9749
361.0 IPS |
|
|
Text Classification (SP)
|
100% |
1524
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1955
2.61 KIPS |
|
|
Text Classification (Q)
|
97% |
973
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2702
46.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2636
45.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1332
25.0 IPS |
