Microsoft Corporation Surface Studio 2+
Geekbench AI Score
2887
Single Precision Score
2827
Half Precision Score
7305
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 05 2026 03:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11370H @ 3.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Microsoft Corporation Surface Studio 2+ |
| Motherboard | Microsoft Corporation Surface Studio 2+ |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11370H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1649
306.7 IPS |
|
|
Image Classification (HP)
|
100% |
1709
317.9 IPS |
|
|
Image Classification (Q)
|
100% |
5048
938.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5385
87.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3404
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3399
3.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
13509
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (HP)
|
100% |
1795
142.4 IPS |
|
|
Object Detection (Q)
|
88% |
4301
344.8 IPS |
|
|
Face Detection (SP)
|
100% |
3996
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
3394
40.3 IPS |
|
|
Face Detection (Q)
|
100% |
12795
152.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4252
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4339
33.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
13221
102.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9029
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8548
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30707
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1962
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5900
218.5 IPS |
|
|
Text Classification (SP)
|
100% |
1975
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1973
2.63 KIPS |
|
|
Text Classification (Q)
|
92% |
3890
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3111
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2947
50.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2301
39.6 IPS |
