Apple Inc. MacBookPro15,2
Geekbench AI Score
2045
Single Precision Score
2128
Half Precision Score
3030
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sw0000 |
| Upload Date | February 02 2025 10:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8559U CPU @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Apple Inc. MacBookPro15,2 |
| Motherboard | Apple Inc. Mac-827FB448E656EC26 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8559U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
1426
265.2 IPS |
|
|
Image Classification (Q)
|
100% |
2243
417.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2310
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2503
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1874
2.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
3864
4.53 IPS |
|
|
Object Detection (SP)
|
100% |
993
78.7 IPS |
|
|
Object Detection (HP)
|
100% |
868
68.8 IPS |
|
|
Object Detection (Q)
|
87% |
1091
87.5 IPS |
|
|
Face Detection (SP)
|
100% |
2780
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
2558
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
3847
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1993
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3559
27.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5819
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7846
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8000
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14754
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1659
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1736
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3138
116.2 IPS |
|
|
Text Classification (SP)
|
100% |
1722
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1711
2.28 KIPS |
|
|
Text Classification (Q)
|
91% |
1203
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2424
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2328
40.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2401
41.4 IPS |
