MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
841
Single Precision Score
104
Half Precision Score
85
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| Upload Date | January 23 2026 08:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8850H |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
436
81.1 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2587
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
616
0.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
550
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
679
8.06 IPS |
|
|
Face Detection (Q)
|
100% |
313
3.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
1366
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1009
7.78 IPS |
|
|
Depth Estimation (Q)
|
85% |
666
5.21 IPS |
|
|
Style Transfer (SP)
|
100% |
3890
5.00 IPS |
|
|
Style Transfer (HP)
|
100% |
2538
3.26 IPS |
|
|
Style Transfer (Q)
|
96% |
2072
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1465
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
557
20.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
341
12.6 IPS |
|
|
Text Classification (SP)
|
100% |
442
590.4 IPS |
|
|
Text Classification (HP)
|
100% |
454
605.8 IPS |
|
|
Text Classification (Q)
|
93% |
458
615.2 IPS |
|
|
Machine Translation (SP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.67 IPS |
|
|
Machine Translation (Q)
|
98% |
555
9.59 IPS |
