MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1320
Single Precision Score
1327
Half Precision Score
216
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | arobasefr |
| Upload Date | September 08 2024 01:48 PM |
| Views | 4 |
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% |
1004
186.7 IPS |
|
|
Image Classification (HP)
|
100% |
1027
191.0 IPS |
|
|
Image Classification (Q)
|
96% |
85
15.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
101
1.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
5096
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5364
6.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
1329
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
1015
80.5 IPS |
|
|
Object Detection (HP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (Q)
|
92% |
97
7.71 IPS |
|
|
Face Detection (SP)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
3502
41.6 IPS |
|
|
Face Detection (Q)
|
100% |
148
1.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
4360
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4468
34.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10328
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10370
13.3 IPS |
|
|
Style Transfer (Q)
|
96% |
16210
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2171
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2347
86.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2573
95.0 IPS |
|
|
Text Classification (SP)
|
100% |
105
140.5 IPS |
|
|
Text Classification (HP)
|
100% |
100
134.0 IPS |
|
|
Text Classification (Q)
|
93% |
118
157.9 IPS |
|
|
Machine Translation (SP)
|
100% |
303
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
98% |
277
4.79 IPS |
