MacBook Pro (13-inch Mid 2019)
Geekbench AI Score
827
Single Precision Score
817
Half Precision Score
455
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | purity |
| Upload Date | August 18 2024 03:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics 655 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
561
104.3 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.2 IPS |
|
|
Image Classification (Q)
|
99% |
486
90.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
208
3.37 IPS |
|
|
Image Segmentation (Q)
|
100% |
205
3.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
6610
7.71 IPS |
|
|
Pose Estimation (HP)
|
99% |
11030
12.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
1424
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
637
50.5 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.4 IPS |
|
|
Object Detection (Q)
|
94% |
155
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
2048
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
1926
22.9 IPS |
|
|
Face Detection (Q)
|
100% |
210
2.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
1080
8.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
1041
8.02 IPS |
|
|
Depth Estimation (Q)
|
97% |
1030
7.96 IPS |
|
|
Style Transfer (SP)
|
100% |
2078
2.67 IPS |
|
|
Style Transfer (HP)
|
100% |
2130
2.74 IPS |
|
|
Style Transfer (Q)
|
100% |
2058
2.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
486
18.0 IPS |
|
|
Text Classification (SP)
|
98% |
215
288.5 IPS |
|
|
Text Classification (HP)
|
98% |
143
191.1 IPS |
|
|
Text Classification (Q)
|
89% |
173
232.4 IPS |
|
|
Machine Translation (SP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (Q)
|
98% |
468
8.08 IPS |
