MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
576
Single Precision Score
411
Half Precision Score
335
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | geckopelli |
| Upload Date | December 29 2024 11:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-8950HK |
| 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% |
289
53.8 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (Q)
|
99% |
208
38.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
258
4.19 IPS |
|
|
Image Segmentation (Q)
|
100% |
258
4.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
1732
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
499
0.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
441
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
92% |
130
10.4 IPS |
|
|
Face Detection (SP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (HP)
|
100% |
553
6.57 IPS |
|
|
Face Detection (Q)
|
100% |
214
2.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
851
6.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
702
5.41 IPS |
|
|
Depth Estimation (Q)
|
97% |
675
5.22 IPS |
|
|
Style Transfer (SP)
|
100% |
2281
2.93 IPS |
|
|
Style Transfer (HP)
|
100% |
1707
2.19 IPS |
|
|
Style Transfer (Q)
|
100% |
1757
2.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
957
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
397
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
234
8.67 IPS |
|
|
Text Classification (SP)
|
100% |
266
354.7 IPS |
|
|
Text Classification (HP)
|
100% |
275
367.7 IPS |
|
|
Text Classification (Q)
|
93% |
272
365.2 IPS |
|
|
Machine Translation (SP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
98% |
369
6.37 IPS |
