MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1475
Single Precision Score
1379
Half Precision Score
571
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | geckopelli |
| Upload Date | December 29 2024 11:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 560X |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (15-inch Mid 2018) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-8950HK |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 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% |
637
118.5 IPS |
|
|
Image Classification (HP)
|
100% |
907
168.8 IPS |
|
|
Image Classification (Q)
|
99% |
917
171.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (Q)
|
100% |
261
4.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
7324
8.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
6163
7.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
1334
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
100% |
935
74.2 IPS |
|
|
Object Detection (Q)
|
92% |
87
6.92 IPS |
|
|
Face Detection (SP)
|
100% |
4163
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
4172
49.6 IPS |
|
|
Face Detection (Q)
|
100% |
153
1.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
6236
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4330
33.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
1001
7.74 IPS |
|
|
Style Transfer (SP)
|
100% |
14518
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13237
17.0 IPS |
|
|
Style Transfer (Q)
|
100% |
13228
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2084
76.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1884
69.8 IPS |
|
|
Text Classification (SP)
|
100% |
137
182.2 IPS |
|
|
Text Classification (HP)
|
100% |
141
188.7 IPS |
|
|
Text Classification (Q)
|
93% |
136
182.3 IPS |
|
|
Machine Translation (SP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (Q)
|
98% |
260
4.49 IPS |
