Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
27416
Single Precision Score
48100
Half Precision Score
21466
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 06:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10912
2.03 KIPS |
|
|
Image Classification (HP)
|
100% |
19606
3.65 KIPS |
|
|
Image Classification (Q)
|
100% |
9923
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18547
300.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
26406
428.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16904
274.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
163739
191.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
462951
540.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
138792
162.6 IPS |
|
|
Object Detection (SP)
|
100% |
14313
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
24114
1.91 KIPS |
|
|
Object Detection (Q)
|
83% |
12101
977.7 IPS |
|
|
Face Detection (SP)
|
100% |
37991
451.4 IPS |
|
|
Face Detection (HP)
|
100% |
55886
664.1 IPS |
|
|
Face Detection (Q)
|
97% |
33131
395.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
67562
520.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
132932
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
53638
428.1 IPS |
|
|
Style Transfer (SP)
|
100% |
225902
290.4 IPS |
|
|
Style Transfer (HP)
|
100% |
750882
965.3 IPS |
|
|
Style Transfer (Q)
|
98% |
191763
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40100
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72860
2.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32325
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3943
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5035
6.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2453
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5519
95.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5605
96.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2730
51.2 IPS |
