MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1480
Single Precision Score
1349
Half Precision Score
238
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | eduardoteles17 |
| Upload Date | December 10 2025 01:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 555X |
| System Information | |
|---|---|
| Operating System | macOS 14.7.6 (Build 23H626) |
| 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% |
1100
204.5 IPS |
|
|
Image Classification (HP)
|
100% |
1145
212.9 IPS |
|
|
Image Classification (Q)
|
96% |
134
25.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.68 IPS |
|
|
Image Segmentation (Q)
|
99% |
124
2.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
5097
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4532
5.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
1865
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
1101
87.3 IPS |
|
|
Object Detection (HP)
|
100% |
829
65.7 IPS |
|
|
Object Detection (Q)
|
92% |
122
9.75 IPS |
|
|
Face Detection (SP)
|
100% |
3860
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
3968
47.1 IPS |
|
|
Face Detection (Q)
|
100% |
192
2.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
4535
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3529
27.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
21.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10484
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9576
12.3 IPS |
|
|
Style Transfer (Q)
|
96% |
10867
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2442
90.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1610
59.5 IPS |
|
|
Text Classification (SP)
|
100% |
241
321.4 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.0 IPS |
|
|
Text Classification (Q)
|
93% |
191
256.0 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.17 IPS |
|
|
Machine Translation (Q)
|
98% |
246
4.25 IPS |
