Apple Inc. MacBookPro16,3
Geekbench AI Score
1647
Single Precision Score
734
Half Precision Score
1955
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | January 26 2026 10:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8257U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. MacBookPro16,3 |
| Motherboard | Apple Inc. Mac-E7203C0F68AA0004 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8257U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1040
193.5 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.7 IPS |
|
|
Image Classification (Q)
|
96% |
1513
282.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
1125
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1354
1.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1322
1.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
3980
4.71 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
58% |
1208
132.0 IPS |
|
|
Face Detection (SP)
|
100% |
3331
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
826
9.81 IPS |
|
|
Face Detection (Q)
|
96% |
3319
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2846
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1022
7.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
4227
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6116
7.86 IPS |
|
|
Style Transfer (HP)
|
100% |
3851
4.95 IPS |
|
|
Style Transfer (Q)
|
87% |
8024
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1897
70.3 IPS |
|
|
Text Classification (SP)
|
100% |
1030
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
516
689.1 IPS |
|
|
Text Classification (Q)
|
97% |
333
446.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (Q)
|
68% |
1403
27.1 IPS |
