MacBook Pro (13-inch Mid 2019)
Geekbench AI Score
669
Single Precision Score
450
Half Precision Score
337
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Hemant_Z |
| Upload Date | December 18 2024 06:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8279U |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (13-inch Mid 2019) |
| Model ID | MacBookPro15,2 |
| Motherboard | Apple Inc. Mac-827FB448E656EC26 MacBookPro15,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8279U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
312
58.0 IPS |
|
|
Image Classification (HP)
|
100% |
236
44.0 IPS |
|
|
Image Classification (Q)
|
96% |
145
27.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
217
3.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
2280
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
475
0.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
447
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (Q)
|
92% |
158
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
653
7.76 IPS |
|
|
Face Detection (Q)
|
100% |
294
3.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
928
7.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
706
5.44 IPS |
|
|
Depth Estimation (Q)
|
85% |
505
3.95 IPS |
|
|
Style Transfer (SP)
|
100% |
2376
3.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1545
1.99 IPS |
|
|
Style Transfer (Q)
|
96% |
1337
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1110
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
265
9.80 IPS |
|
|
Text Classification (SP)
|
100% |
394
525.7 IPS |
|
|
Text Classification (HP)
|
100% |
386
515.2 IPS |
|
|
Text Classification (Q)
|
93% |
351
471.0 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (Q)
|
98% |
465
8.04 IPS |
