MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
295
Single Precision Score
222
Half Precision Score
153
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | February 14 2025 04:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| Model | MacBook Pro (15-inch Mid 2018) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.20 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% |
207
38.5 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.8 IPS |
|
|
Image Classification (Q)
|
96% |
83
15.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
134
2.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
114
1.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
1656
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
969
1.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
665
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.18 IPS |
|
|
Object Detection (HP)
|
100% |
66
5.25 IPS |
|
|
Object Detection (Q)
|
92% |
65
5.21 IPS |
|
|
Face Detection (SP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (HP)
|
100% |
244
2.90 IPS |
|
|
Face Detection (Q)
|
100% |
76
0.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
396
3.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
251
1.93 IPS |
|
|
Depth Estimation (Q)
|
86% |
178
1.39 IPS |
|
|
Style Transfer (SP)
|
100% |
958
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
872
1.12 IPS |
|
|
Style Transfer (Q)
|
96% |
670
0.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
219
8.09 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
131
4.84 IPS |
|
|
Text Classification (SP)
|
100% |
118
157.7 IPS |
|
|
Text Classification (HP)
|
100% |
118
157.3 IPS |
|
|
Text Classification (Q)
|
93% |
127
170.9 IPS |
|
|
Machine Translation (SP)
|
100% |
124
2.14 IPS |
|
|
Machine Translation (HP)
|
100% |
166
2.85 IPS |
|
|
Machine Translation (Q)
|
98% |
114
1.97 IPS |
