Microsoft Corporation Surface Book 3
Geekbench AI Score
7133
Single Precision Score
11667
Half Precision Score
5365
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 04:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro RTX 3000 with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
2988
555.6 IPS |
|
|
Image Classification (HP)
|
100% |
4964
923.1 IPS |
|
|
Image Classification (Q)
|
99% |
2468
460.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4938
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6412
103.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4121
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
31646
36.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
100144
116.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
28620
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3554
281.9 IPS |
|
|
Object Detection (HP)
|
100% |
5967
473.3 IPS |
|
|
Object Detection (Q)
|
84% |
2856
230.3 IPS |
|
|
Face Detection (SP)
|
100% |
8525
101.3 IPS |
|
|
Face Detection (HP)
|
100% |
12565
149.3 IPS |
|
|
Face Detection (Q)
|
97% |
7411
88.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19144
147.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
37371
287.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
14047
112.2 IPS |
|
|
Style Transfer (SP)
|
100% |
61030
78.5 IPS |
|
|
Style Transfer (HP)
|
100% |
148245
190.6 IPS |
|
|
Style Transfer (Q)
|
98% |
51621
66.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10567
390.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17249
636.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7200
266.6 IPS |
|
|
Text Classification (SP)
|
100% |
1247
1.66 KIPS |
|
|
Text Classification (HP)
|
99% |
1343
1.79 KIPS |
|
|
Text Classification (Q)
|
97% |
692
927.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1567
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1524
26.3 IPS |
|
|
Machine Translation (Q)
|
70% |
888
16.6 IPS |
