Micro-Star International Co., Ltd. P65 Creator 8RF
Geekbench AI Score
6440
Single Precision Score
6432
Half Precision Score
4812
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | vuthi |
| Upload Date | September 27 2025 08:02 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. P65 Creator 8RF |
| Motherboard | Micro-Star International Co., Ltd. MS-16Q2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1826
339.5 IPS |
|
|
Image Classification (HP)
|
100% |
2819
524.2 IPS |
|
|
Image Classification (Q)
|
99% |
1460
272.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4466
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4158
67.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3664
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
38551
45.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23125
27.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31656
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
2321
184.1 IPS |
|
|
Object Detection (HP)
|
100% |
3344
265.2 IPS |
|
|
Object Detection (Q)
|
84% |
1939
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
4629
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
6690
79.5 IPS |
|
|
Face Detection (Q)
|
97% |
4098
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14606
112.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13161
101.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11648
93.0 IPS |
|
|
Style Transfer (SP)
|
100% |
67652
87.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40554
52.1 IPS |
|
|
Style Transfer (Q)
|
98% |
54472
70.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12481
460.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9741
359.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8288
306.9 IPS |
|
|
Text Classification (SP)
|
100% |
1216
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1658
2.21 KIPS |
|
|
Text Classification (Q)
|
97% |
812
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2423
41.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2321
40.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1159
21.7 IPS |
