MacBook Pro (15-inch Retina Mid 2015)
Geekbench ML Score
474
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | May 08 2024 09:55 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (15-inch Retina Mid 2015) |
| Model ID | MacBookPro11,5 |
| Motherboard | Apple Inc. Mac-06F11F11946D27C5 MacBookPro11,5 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4870HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 70 Stepping 1 |
| Base Frequency | 2.50 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 |
| L4 Cache | 128 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
239
44.8 IPS |
|
|
Image Classification (F16)
|
100% |
188
35.1 IPS |
|
|
Image Classification (I8)
|
99% |
188
35.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
222
3.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
157
2.63 IPS |
|
|
Image Segmentation (I8)
|
100% |
157
2.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
2139
2.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
1337
1.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
1346
1.63 IPS |
|
|
Object Detection (F32)
|
100% |
247
18.4 IPS |
|
|
Object Detection (F16)
|
100% |
203
15.1 IPS |
|
|
Object Detection (I8)
|
97% |
239
17.9 IPS |
|
|
Face Detection (F32)
|
100% |
635
7.55 IPS |
|
|
Face Detection (F16)
|
98% |
521
6.20 IPS |
|
|
Face Detection (I8)
|
97% |
517
6.15 IPS |
|
|
Depth Estimation (F32)
|
100% |
842
6.53 IPS |
|
|
Depth Estimation (F16)
|
100% |
688
5.33 IPS |
|
|
Depth Estimation (I8)
|
99% |
685
5.32 IPS |
|
|
Style Transfer (F32)
|
100% |
1899
2.50 IPS |
|
|
Style Transfer (F16)
|
100% |
1737
2.29 IPS |
|
|
Style Transfer (I8)
|
100% |
1755
2.31 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1196
42.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
847
30.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
840
30.0 IPS |
|
|
Text Classification (F32)
|
100% |
307
441.5 IPS |
|
|
Text Classification (F16)
|
100% |
298
428.0 IPS |
|
|
Text Classification (I8)
|
96% |
295
423.9 IPS |
|
|
Machine Translation (F32)
|
100% |
203
3.73 IPS |
|
|
Machine Translation (F16)
|
100% |
256
4.71 IPS |
|
|
Machine Translation (I8)
|
99% |
198
3.65 IPS |
