Apple Inc. MacBookPro15,2
Geekbench AI Score
1987
Single Precision Score
825
Half Precision Score
2382
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sw0000 |
| Upload Date | February 02 2025 10:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8559U |
| 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% |
1497
278.3 IPS |
|
|
Image Classification (HP)
|
100% |
318
59.1 IPS |
|
|
Image Classification (Q)
|
96% |
1899
354.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
512
8.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
1435
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2600
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2000
2.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
4393
5.19 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
58% |
1356
148.2 IPS |
|
|
Face Detection (SP)
|
100% |
3603
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
940
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
3700
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3741
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
979
7.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
4533
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6581
8.46 IPS |
|
|
Style Transfer (HP)
|
100% |
4918
6.32 IPS |
|
|
Style Transfer (Q)
|
87% |
9290
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1406
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1666
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
1029
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
545
727.4 IPS |
|
|
Text Classification (Q)
|
97% |
914
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1486
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (Q)
|
68% |
1530
29.6 IPS |
