Microsoft Corporation Surface Book 3
Geekbench AI Score
2160
Single Precision Score
2060
Half Precision Score
5802
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | KIP603 |
| Upload Date | January 04 2026 05:27 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-1065G7 CPU @ 1.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Book 3 |
| Motherboard | Microsoft Corporation Surface Book 3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1459
271.3 IPS |
|
|
Image Classification (HP)
|
100% |
1486
276.4 IPS |
|
|
Image Classification (Q)
|
100% |
4211
783.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4129
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2124
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1739
2.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
8411
9.85 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (Q)
|
88% |
3651
292.7 IPS |
|
|
Face Detection (SP)
|
100% |
3556
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (Q)
|
100% |
8155
96.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3121
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3352
25.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
10002
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5048
6.49 IPS |
|
|
Style Transfer (HP)
|
100% |
4902
6.30 IPS |
|
|
Style Transfer (Q)
|
98% |
27006
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1553
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5301
196.3 IPS |
|
|
Text Classification (SP)
|
100% |
1596
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1385
1.85 KIPS |
|
|
Text Classification (Q)
|
92% |
3042
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2293
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2507
43.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2281
39.3 IPS |
