MacBook Pro (13-inch Mid 2019)
Geekbench AI Score
679
Single Precision Score
693
Half Precision Score
167
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | December 21 2024 11:30 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics 645 |
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| Model | MacBook Pro (13-inch Mid 2019) |
| Model ID | MacBookPro15,4 |
| Motherboard | Apple Inc. Mac-53FDB3D8DB8CA971 MacBookPro15,4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8257U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.40 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% |
569
105.8 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (Q)
|
96% |
121
22.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
120
1.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
5960
6.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
10035
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
1160
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
100% |
558
44.2 IPS |
|
|
Object Detection (Q)
|
94% |
125
9.98 IPS |
|
|
Face Detection (SP)
|
100% |
1382
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (Q)
|
100% |
163
1.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
946
7.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
933
7.19 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
6.65 IPS |
|
|
Style Transfer (SP)
|
100% |
2007
2.58 IPS |
|
|
Style Transfer (HP)
|
100% |
1950
2.51 IPS |
|
|
Style Transfer (Q)
|
96% |
1862
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
440
16.2 IPS |
|
|
Text Classification (SP)
|
99% |
126
168.1 IPS |
|
|
Text Classification (HP)
|
99% |
145
194.3 IPS |
|
|
Text Classification (Q)
|
93% |
154
206.3 IPS |
|
|
Machine Translation (SP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.90 IPS |
|
|
Machine Translation (Q)
|
98% |
413
7.14 IPS |
