MacBook Pro (13-inch Mid 2017)
Geekbench ML Score
1137
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | September 28 2024 01:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.9 (Build 22G830) |
| Model | MacBook Pro (13-inch Mid 2017) |
| Model ID | MacBookPro14,1 |
| Motherboard | Apple Inc. Mac-B4831CEBD52A0C4C MacBookPro14,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7360U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
559
104.6 IPS |
|
|
Image Classification (F16)
|
100% |
436
81.6 IPS |
|
|
Image Classification (I8)
|
99% |
436
81.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
220
3.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
221
3.69 IPS |
|
|
Image Segmentation (I8)
|
100% |
222
3.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
5560
6.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
9482
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9416
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
583
43.5 IPS |
|
|
Object Detection (F16)
|
100% |
542
40.5 IPS |
|
|
Object Detection (I8)
|
97% |
589
44.0 IPS |
|
|
Face Detection (F32)
|
100% |
1929
22.9 IPS |
|
|
Face Detection (F16)
|
99% |
1512
18.0 IPS |
|
|
Face Detection (I8)
|
99% |
1367
16.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3596
27.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
4213
32.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
4209
32.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9715
12.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11386
15.0 IPS |
|
|
Style Transfer (I8)
|
100% |
11555
15.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1739
62.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1957
69.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2065
73.8 IPS |
|
|
Text Classification (F32)
|
100% |
73
104.4 IPS |
|
|
Text Classification (F16)
|
100% |
226
325.4 IPS |
|
|
Text Classification (I8)
|
96% |
225
324.0 IPS |
|
|
Machine Translation (F32)
|
100% |
399
7.35 IPS |
|
|
Machine Translation (F16)
|
100% |
335
6.16 IPS |
|
|
Machine Translation (I8)
|
99% |
396
7.30 IPS |
