Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
23024
Single Precision Score
35597
Half Precision Score
13788
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ccutrer |
| Upload Date | January 18 2026 09:02 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8868
1.65 KIPS |
|
|
Image Classification (HP)
|
99% |
12573
2.35 KIPS |
|
|
Image Classification (Q)
|
100% |
5802
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16937
274.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
25146
407.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12105
196.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
129370
151.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
390816
456.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
104505
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
11621
921.8 IPS |
|
|
Object Detection (HP)
|
100% |
16877
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
7751
623.5 IPS |
|
|
Face Detection (SP)
|
100% |
32434
385.4 IPS |
|
|
Face Detection (HP)
|
100% |
47353
562.7 IPS |
|
|
Face Detection (Q)
|
97% |
20380
243.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
56171
432.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99576
767.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
33667
269.7 IPS |
|
|
Style Transfer (SP)
|
100% |
244080
313.8 IPS |
|
|
Style Transfer (HP)
|
100% |
573536
737.3 IPS |
|
|
Style Transfer (Q)
|
98% |
175260
226.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35784
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44046
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19099
707.2 IPS |
|
|
Text Classification (SP)
|
100% |
2620
3.50 KIPS |
|
|
Text Classification (HP)
|
99% |
3054
4.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1298
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4447
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4307
74.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1465
27.5 IPS |
