MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1541
Single Precision Score
1308
Half Precision Score
237
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | vincent_zh |
| Upload Date | February 11 2025 10:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 560X |
| System Information | |
|---|---|
| Operating System | macOS 14.7.3 (Build 23H417) |
| 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% |
1245
231.6 IPS |
|
|
Image Classification (HP)
|
100% |
1273
236.8 IPS |
|
|
Image Classification (Q)
|
96% |
114
21.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (Q)
|
99% |
155
2.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
7197
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
5729
6.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1627
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
1271
100.8 IPS |
|
|
Object Detection (HP)
|
100% |
756
60.0 IPS |
|
|
Object Detection (Q)
|
92% |
100
8.02 IPS |
|
|
Face Detection (SP)
|
100% |
3803
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
4239
50.4 IPS |
|
|
Face Detection (Q)
|
100% |
180
2.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
5849
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3808
29.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14392
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11737
15.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18445
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2578
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2620
96.8 IPS |
|
|
Text Classification (SP)
|
100% |
114
151.5 IPS |
|
|
Text Classification (HP)
|
100% |
129
172.4 IPS |
|
|
Text Classification (Q)
|
93% |
95
127.8 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (Q)
|
98% |
241
4.16 IPS |
