Microsoft Corporation Surface Book
Geekbench AI Score
434
Single Precision Score
296
Half Precision Score
364
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | NAGJOZ |
| Upload Date | October 14 2024 02:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 520 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Book |
| Motherboard | Microsoft Corporation Surface Book |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6600U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (Q)
|
99% |
217
40.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
304
4.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
845
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (Q)
|
97% |
750
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (Q)
|
89% |
221
17.7 IPS |
|
|
Face Detection (SP)
|
100% |
545
6.47 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
97% |
440
5.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
782
6.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
517
3.99 IPS |
|
|
Depth Estimation (Q)
|
75% |
717
5.79 IPS |
|
|
Style Transfer (SP)
|
100% |
1683
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
1190
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1511
1.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
391
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
153
204.4 IPS |
|
|
Text Classification (HP)
|
100% |
164
219.0 IPS |
|
|
Text Classification (Q)
|
97% |
141
188.7 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (HP)
|
96% |
221
3.82 IPS |
|
|
Machine Translation (Q)
|
60% |
146
3.26 IPS |
