Apple Inc. MacBookPro15,2
Geekbench AI Score
1480
Single Precision Score
1681
Half Precision Score
1243
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sw0000 |
| Upload Date | February 02 2025 11:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Plus Graphics 655 |
| 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% |
660
122.8 IPS |
|
|
Image Classification (HP)
|
100% |
722
134.3 IPS |
|
|
Image Classification (Q)
|
100% |
623
115.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1026
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
867
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4310
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
5720
6.67 IPS |
|
|
Pose Estimation (Q)
|
97% |
3565
4.18 IPS |
|
|
Object Detection (SP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (HP)
|
98% |
800
63.6 IPS |
|
|
Object Detection (Q)
|
86% |
712
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
1490
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1849
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
1449
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3041
23.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3557
27.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2492
19.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9144
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15948
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9194
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2616
96.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1557
57.7 IPS |
|
|
Text Classification (SP)
|
100% |
593
791.5 IPS |
|
|
Text Classification (HP)
|
100% |
304
406.2 IPS |
|
|
Text Classification (Q)
|
97% |
357
478.8 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
70% |
349
6.55 IPS |
