MSI MS-7850 (Corsair) MSI MS-7850
Geekbench AI Score
6801
Single Precision Score
6564
Half Precision Score
4840
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | January 18 2025 06:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 980 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7850 |
| Motherboard | MSI Z87-G41 PC Mate(MS-7850) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4590 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2904
540.0 IPS |
|
|
Image Classification (HP)
|
100% |
2854
530.8 IPS |
|
|
Image Classification (Q)
|
99% |
2287
426.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4059
65.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4134
67.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3217
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29368
34.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
28092
32.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
25358
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
3669
291.0 IPS |
|
|
Object Detection (HP)
|
100% |
3667
290.9 IPS |
|
|
Object Detection (Q)
|
84% |
2869
231.4 IPS |
|
|
Face Detection (SP)
|
100% |
6930
82.3 IPS |
|
|
Face Detection (HP)
|
100% |
6894
81.9 IPS |
|
|
Face Detection (Q)
|
97% |
5341
63.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14821
114.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13431
103.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
10603
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
50809
65.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42012
54.0 IPS |
|
|
Style Transfer (Q)
|
98% |
41501
53.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10751
397.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10174
375.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6996
259.0 IPS |
|
|
Text Classification (SP)
|
100% |
1541
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1643
2.19 KIPS |
|
|
Text Classification (Q)
|
97% |
861
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1881
32.5 IPS |
|
|
Machine Translation (Q)
|
70% |
931
17.5 IPS |
