MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
833
Single Precision Score
105
Half Precision Score
85
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | November 13 2025 11:34 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% |
437
81.4 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2641
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
773
0.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
609
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
856
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
669
7.95 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1331
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1017
7.84 IPS |
|
|
Depth Estimation (Q)
|
85% |
650
5.08 IPS |
|
|
Style Transfer (SP)
|
100% |
3860
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
2520
3.24 IPS |
|
|
Style Transfer (Q)
|
96% |
2025
2.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1396
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
356
13.1 IPS |
|
|
Text Classification (SP)
|
100% |
433
578.1 IPS |
|
|
Text Classification (HP)
|
100% |
432
576.6 IPS |
|
|
Text Classification (Q)
|
93% |
442
592.8 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (Q)
|
98% |
542
9.36 IPS |
