Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
14997
Single Precision Score
20069
Half Precision Score
12155
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 03:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| Motherboard | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6050
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6996
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
5597
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6649
107.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7393
119.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7697
125.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
117496
137.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
295024
344.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
101284
118.6 IPS |
|
|
Object Detection (SP)
|
100% |
6287
498.7 IPS |
|
|
Object Detection (HP)
|
99% |
8114
643.6 IPS |
|
|
Object Detection (Q)
|
87% |
5777
463.9 IPS |
|
|
Face Detection (SP)
|
100% |
17603
209.2 IPS |
|
|
Face Detection (HP)
|
100% |
21262
252.6 IPS |
|
|
Face Detection (Q)
|
97% |
15752
187.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
48689
375.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
59331
457.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
36945
296.3 IPS |
|
|
Style Transfer (SP)
|
100% |
203112
261.1 IPS |
|
|
Style Transfer (HP)
|
100% |
332320
427.2 IPS |
|
|
Style Transfer (Q)
|
98% |
166654
214.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26352
973.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39365
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19226
711.9 IPS |
|
|
Text Classification (SP)
|
100% |
1887
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1165
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2238
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2308
39.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1286
24.1 IPS |
