Apple Inc. MacBookPro15,2
Geekbench AI Score
2112
Single Precision Score
2870
Half Precision Score
2655
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sw0000 |
| Upload Date | February 02 2025 11:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Plus Graphics 655 (iGPU) |
| 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% |
1443
268.4 IPS |
|
|
Image Classification (HP)
|
100% |
2034
378.3 IPS |
|
|
Image Classification (Q)
|
100% |
1880
349.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3060
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2327
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4493
5.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
4180
4.89 IPS |
|
|
Pose Estimation (Q)
|
97% |
6189
7.25 IPS |
|
|
Object Detection (SP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (HP)
|
99% |
1846
146.8 IPS |
|
|
Object Detection (Q)
|
88% |
1751
140.4 IPS |
|
|
Face Detection (SP)
|
100% |
3673
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
5470
65.0 IPS |
|
|
Face Detection (Q)
|
97% |
5044
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3926
30.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6187
47.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
5412
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10393
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13289
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
11954
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1873
69.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2898
107.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2656
98.3 IPS |
|
|
Text Classification (SP)
|
71% |
643
930.3 IPS |
|
|
Text Classification (HP)
|
71% |
706
1.02 KIPS |
|
|
Text Classification (Q)
|
92% |
496
666.4 IPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
97% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
854
14.8 IPS |
