Microsoft Corporation Surface Book 3
Geekbench AI Score
2183
Single Precision Score
3351
Half Precision Score
3015
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | KIP603 |
| Upload Date | January 04 2026 05:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Plus Graphics (iGPU) |
| 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% |
1518
282.2 IPS |
|
|
Image Classification (HP)
|
100% |
2126
395.4 IPS |
|
|
Image Classification (Q)
|
100% |
1202
223.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3669
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3558
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3670
4.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
3291
3.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
6717
7.87 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
99% |
2086
166.0 IPS |
|
|
Object Detection (Q)
|
88% |
2005
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
6282
74.6 IPS |
|
|
Face Detection (Q)
|
97% |
5635
67.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3796
29.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7510
58.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
6534
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11157
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17702
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15853
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2164
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3424
126.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3140
116.3 IPS |
|
|
Text Classification (SP)
|
71% |
606
877.0 IPS |
|
|
Text Classification (HP)
|
71% |
853
1.23 KIPS |
|
|
Text Classification (Q)
|
92% |
433
582.2 IPS |
|
|
Machine Translation (SP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1367
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1361
23.5 IPS |
