MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1329
Single Precision Score
1372
Half Precision Score
679
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | arobasefr |
| Upload Date | August 16 2024 11:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 555X |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1044
194.1 IPS |
|
|
Image Classification (HP)
|
100% |
1090
202.8 IPS |
|
|
Image Classification (Q)
|
99% |
1057
197.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.51 IPS |
|
|
Image Segmentation (Q)
|
100% |
276
4.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
5100
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5369
6.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
1242
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (HP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (Q)
|
92% |
97
7.78 IPS |
|
|
Face Detection (SP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
3673
43.6 IPS |
|
|
Face Detection (Q)
|
100% |
149
1.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
4416
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4521
34.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
4574
35.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10354
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10455
13.4 IPS |
|
|
Style Transfer (Q)
|
100% |
10264
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2410
89.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2459
91.1 IPS |
|
|
Text Classification (SP)
|
100% |
104
138.9 IPS |
|
|
Text Classification (HP)
|
100% |
114
151.8 IPS |
|
|
Text Classification (Q)
|
93% |
123
164.5 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (Q)
|
98% |
282
4.88 IPS |
