MSI MS-7916
Geekbench AI Score
1479
Single Precision Score
785
Half Precision Score
1628
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 07:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4790K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | MSI MS-7916 |
| Motherboard | MSI Z97 GAMING 7 (MS-7916) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1027
191.0 IPS |
|
|
Image Classification (HP)
|
100% |
315
58.7 IPS |
|
|
Image Classification (Q)
|
96% |
1353
252.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
1195
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2303
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1975
2.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
2804
3.32 IPS |
|
|
Object Detection (SP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (HP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (Q)
|
58% |
917
100.1 IPS |
|
|
Face Detection (SP)
|
100% |
1930
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (Q)
|
96% |
2967
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2967
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1116
8.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
3140
25.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5497
7.07 IPS |
|
|
Style Transfer (HP)
|
100% |
4397
5.65 IPS |
|
|
Style Transfer (Q)
|
87% |
5593
7.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1018
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
895
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1452
53.8 IPS |
|
|
Text Classification (SP)
|
100% |
1010
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
521
695.5 IPS |
|
|
Text Classification (Q)
|
97% |
339
453.8 IPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (Q)
|
68% |
1229
23.7 IPS |
