MacBook Pro (13-inch Mid 2018)
Geekbench ML Score
551
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 16 2024 09:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (13-inch Mid 2018) |
| Model ID | MacBookPro15,2 |
| Motherboard | Apple Inc. Mac-827FB448E656EC26 MacBookPro15,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8259U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
267
50.0 IPS |
|
|
Image Classification (F16)
|
100% |
210
39.2 IPS |
|
|
Image Classification (I8)
|
99% |
209
39.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
245
4.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
156
2.61 IPS |
|
|
Image Segmentation (I8)
|
100% |
173
2.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
2498
3.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
1500
1.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
1505
1.82 IPS |
|
|
Object Detection (F32)
|
100% |
273
20.4 IPS |
|
|
Object Detection (F16)
|
100% |
234
17.5 IPS |
|
|
Object Detection (I8)
|
97% |
275
20.5 IPS |
|
|
Face Detection (F32)
|
100% |
784
9.33 IPS |
|
|
Face Detection (F16)
|
98% |
648
7.71 IPS |
|
|
Face Detection (I8)
|
97% |
642
7.63 IPS |
|
|
Depth Estimation (F32)
|
100% |
1000
7.76 IPS |
|
|
Depth Estimation (F16)
|
100% |
817
6.33 IPS |
|
|
Depth Estimation (I8)
|
99% |
816
6.33 IPS |
|
|
Style Transfer (F32)
|
100% |
2931
3.86 IPS |
|
|
Style Transfer (F16)
|
100% |
2416
3.18 IPS |
|
|
Style Transfer (I8)
|
100% |
2405
3.16 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1323
47.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
940
33.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
882
31.5 IPS |
|
|
Text Classification (F32)
|
100% |
367
526.9 IPS |
|
|
Text Classification (F16)
|
100% |
360
517.0 IPS |
|
|
Text Classification (I8)
|
96% |
338
485.4 IPS |
|
|
Machine Translation (F32)
|
100% |
222
4.09 IPS |
|
|
Machine Translation (F16)
|
100% |
269
4.95 IPS |
|
|
Machine Translation (I8)
|
99% |
215
3.95 IPS |
