Micro-Star International Co., Ltd. MPG Z590 GAMING EDGE WIFI (MS-7D07) Micro-Star International Co., Ltd. MS-7D07
Geekbench AI Score
2152
Single Precision Score
3225
Half Precision Score
5060
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | January 17 2026 12:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 750 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D07 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z590 GAMING EDGE WIFI (MS-7D07) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1283
238.6 IPS |
|
|
Image Classification (HP)
|
100% |
2048
380.9 IPS |
|
|
Image Classification (Q)
|
99% |
3315
618.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3277
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3766
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3526
4.11 IPS |
|
|
Pose Estimation (HP)
|
99% |
2592
3.02 IPS |
|
|
Pose Estimation (Q)
|
97% |
10624
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1224
97.1 IPS |
|
|
Object Detection (HP)
|
98% |
1934
153.9 IPS |
|
|
Object Detection (Q)
|
90% |
3394
271.4 IPS |
|
|
Face Detection (SP)
|
100% |
4103
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
6592
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
8838
105.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4186
32.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7145
55.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
9737
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9182
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14592
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24560
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1664
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2702
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5522
204.5 IPS |
|
|
Text Classification (SP)
|
71% |
890
1.29 KIPS |
|
|
Text Classification (HP)
|
71% |
1108
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
1142
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1762
30.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1837
31.6 IPS |
