MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1359
Single Precision Score
1389
Half Precision Score
522
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | arobasefr |
| Upload Date | March 16 2025 04:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 555X |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1041
193.5 IPS |
|
|
Image Classification (HP)
|
100% |
1052
195.7 IPS |
|
|
Image Classification (Q)
|
96% |
114
21.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (Q)
|
99% |
107
1.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
5098
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5362
6.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
1525
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
1012
80.2 IPS |
|
|
Object Detection (HP)
|
100% |
1023
81.1 IPS |
|
|
Object Detection (Q)
|
92% |
114
9.11 IPS |
|
|
Face Detection (SP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
3713
44.1 IPS |
|
|
Face Detection (Q)
|
100% |
170
2.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
4366
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4476
34.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
4197
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10335
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10371
13.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12713
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2246
82.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2371
87.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2173
80.2 IPS |
|
|
Text Classification (SP)
|
100% |
131
175.2 IPS |
|
|
Text Classification (HP)
|
100% |
140
186.6 IPS |
|
|
Text Classification (Q)
|
93% |
140
187.4 IPS |
|
|
Machine Translation (SP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (Q)
|
98% |
258
4.46 IPS |
