MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1362
Single Precision Score
1398
Half Precision Score
523
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| User | arobasefr |
| Upload Date | December 21 2025 02:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 555X |
| 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 i7-8750H |
| 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% |
1023
190.3 IPS |
|
|
Image Classification (HP)
|
100% |
1078
200.5 IPS |
|
|
Image Classification (Q)
|
96% |
108
20.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
292
4.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (Q)
|
99% |
108
1.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
5099
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5370
6.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
1537
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
92% |
111
8.89 IPS |
|
|
Face Detection (SP)
|
100% |
3471
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
3543
42.1 IPS |
|
|
Face Detection (Q)
|
100% |
164
1.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
4405
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4591
35.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
4262
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10330
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10384
13.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12749
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2328
86.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2406
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2254
83.2 IPS |
|
|
Text Classification (SP)
|
100% |
130
173.6 IPS |
|
|
Text Classification (HP)
|
100% |
145
193.6 IPS |
|
|
Text Classification (Q)
|
93% |
143
191.4 IPS |
|
|
Machine Translation (SP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.66 IPS |
|
|
Machine Translation (Q)
|
98% |
270
4.67 IPS |
