MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1373
Single Precision Score
1370
Half Precision Score
558
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | aektann |
| Upload Date | November 02 2025 11:48 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 560X |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 32.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
670
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
948
176.3 IPS |
|
|
Image Classification (Q)
|
96% |
119
22.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (Q)
|
99% |
120
1.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
7307
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
6194
7.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
1645
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (Q)
|
92% |
99
7.88 IPS |
|
|
Face Detection (SP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
4348
51.7 IPS |
|
|
Face Detection (Q)
|
100% |
170
2.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
6069
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4266
32.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
3924
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14483
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13152
16.9 IPS |
|
|
Style Transfer (Q)
|
96% |
14773
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2741
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1768
65.3 IPS |
|
|
Text Classification (SP)
|
100% |
80
107.4 IPS |
|
|
Text Classification (HP)
|
100% |
130
174.1 IPS |
|
|
Text Classification (Q)
|
93% |
299
400.7 IPS |
|
|
Machine Translation (SP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.21 IPS |
|
|
Machine Translation (Q)
|
98% |
244
4.22 IPS |
