MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
678
Single Precision Score
93
Half Precision Score
74
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | November 13 2025 11:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8850H |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | MacBook Pro (15-inch Mid 2018) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
325
5.27 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2152
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
572
0.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
507
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
720
8.56 IPS |
|
|
Face Detection (HP)
|
100% |
558
6.63 IPS |
|
|
Face Detection (Q)
|
100% |
254
3.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
1114
8.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
920
7.08 IPS |
|
|
Depth Estimation (Q)
|
85% |
548
4.29 IPS |
|
|
Style Transfer (SP)
|
100% |
3340
4.29 IPS |
|
|
Style Transfer (HP)
|
100% |
2122
2.73 IPS |
|
|
Style Transfer (Q)
|
96% |
1542
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
279
10.3 IPS |
|
|
Text Classification (SP)
|
100% |
335
447.8 IPS |
|
|
Text Classification (HP)
|
100% |
382
510.4 IPS |
|
|
Text Classification (Q)
|
93% |
381
511.1 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
98% |
451
7.79 IPS |
