Micro-Star International Co., Ltd. MS-7E02
Geekbench AI Score
22795
Single Precision Score
36543
Half Precision Score
17595
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 05 2026 10:00 PM |
| Views | 3 |
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% |
9123
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
14769
2.75 KIPS |
|
|
Image Classification (Q)
|
100% |
8073
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16934
274.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22317
361.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15026
244.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
115306
134.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
316310
369.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
106487
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
11460
909.0 IPS |
|
|
Object Detection (HP)
|
100% |
18505
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
9692
780.2 IPS |
|
|
Face Detection (SP)
|
100% |
29380
349.1 IPS |
|
|
Face Detection (HP)
|
100% |
43420
515.9 IPS |
|
|
Face Detection (Q)
|
97% |
25556
304.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
51237
394.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
100076
771.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
40281
321.6 IPS |
|
|
Style Transfer (SP)
|
100% |
201150
258.6 IPS |
|
|
Style Transfer (HP)
|
100% |
499409
642.0 IPS |
|
|
Style Transfer (Q)
|
98% |
179485
231.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39740
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51705
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28855
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3294
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4147
5.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1968
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4683
80.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4731
81.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2165
40.6 IPS |
