MacBook Pro (13-inch Mid 2019)
Geekbench AI Score
736
Single Precision Score
605
Half Precision Score
492
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | purity |
| Upload Date | August 18 2024 03:02 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8279U |
| 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% |
304
56.6 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
99% |
236
44.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (Q)
|
100% |
234
3.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
2589
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1587
1.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
1256
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (Q)
|
92% |
170
13.5 IPS |
|
|
Face Detection (SP)
|
100% |
835
9.93 IPS |
|
|
Face Detection (HP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (Q)
|
100% |
306
3.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
1093
8.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
893
6.88 IPS |
|
|
Depth Estimation (Q)
|
97% |
1007
7.79 IPS |
|
|
Style Transfer (SP)
|
100% |
3081
3.96 IPS |
|
|
Style Transfer (HP)
|
100% |
2593
3.33 IPS |
|
|
Style Transfer (Q)
|
100% |
2570
3.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
944
34.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
457
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.6 IPS |
|
|
Text Classification (HP)
|
100% |
415
554.4 IPS |
|
|
Text Classification (Q)
|
93% |
426
572.3 IPS |
|
|
Machine Translation (SP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (HP)
|
100% |
462
7.95 IPS |
|
|
Machine Translation (Q)
|
98% |
461
7.97 IPS |
