Micro-Star International Co., Ltd. MS-7E02
Geekbench AI Score
23025
Single Precision Score
36545
Half Precision Score
17469
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 05 2026 10:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E02 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-P DDR4 (MS-7E02) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9141
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
14889
2.78 KIPS |
|
|
Image Classification (Q)
|
100% |
8101
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16883
273.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22748
368.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15067
245.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
117042
136.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
314317
366.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
104854
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
11456
908.7 IPS |
|
|
Object Detection (HP)
|
100% |
18611
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
9761
785.7 IPS |
|
|
Face Detection (SP)
|
100% |
30855
366.6 IPS |
|
|
Face Detection (HP)
|
100% |
44345
526.9 IPS |
|
|
Face Detection (Q)
|
97% |
25847
308.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
53957
415.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98634
759.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
41584
332.0 IPS |
|
|
Style Transfer (SP)
|
100% |
198262
254.9 IPS |
|
|
Style Transfer (HP)
|
100% |
481847
619.4 IPS |
|
|
Style Transfer (Q)
|
98% |
179195
231.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39432
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51626
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29045
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3312
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4140
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1903
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4696
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4761
82.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1991
37.3 IPS |
