MacBook Pro (15-inch Mid 2017)
Geekbench ML Score
1309
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 15 2024 07:00 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.9 (Build 22G830) |
| Model | MacBook Pro (15-inch Mid 2017) |
| Model ID | MacBookPro14,3 |
| Motherboard | Apple Inc. Mac-551B86E5744E2388 MacBookPro14,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7820HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.90 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 | 8.00 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% |
681
127.4 IPS |
|
|
Image Classification (F16)
|
100% |
809
151.3 IPS |
|
|
Image Classification (I8)
|
99% |
813
152.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
190
3.18 IPS |
|
|
Image Segmentation (I8)
|
100% |
188
3.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
6477
7.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
5953
7.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
5832
7.06 IPS |
|
|
Object Detection (F32)
|
100% |
987
73.7 IPS |
|
|
Object Detection (F16)
|
100% |
814
60.7 IPS |
|
|
Object Detection (I8)
|
97% |
933
69.7 IPS |
|
|
Face Detection (F32)
|
100% |
3859
45.9 IPS |
|
|
Face Detection (F16)
|
97% |
4080
48.5 IPS |
|
|
Face Detection (I8)
|
96% |
4118
49.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5375
41.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4179
32.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
4165
32.3 IPS |
|
|
Style Transfer (F32)
|
100% |
11434
15.0 IPS |
|
|
Style Transfer (F16)
|
100% |
11348
14.9 IPS |
|
|
Style Transfer (I8)
|
100% |
12098
15.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1744
62.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1595
57.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1788
63.9 IPS |
|
|
Text Classification (F32)
|
100% |
226
324.3 IPS |
|
|
Text Classification (F16)
|
100% |
262
376.3 IPS |
|
|
Text Classification (I8)
|
96% |
259
372.8 IPS |
|
|
Machine Translation (F32)
|
100% |
208
3.83 IPS |
|
|
Machine Translation (F16)
|
100% |
203
3.73 IPS |
|
|
Machine Translation (I8)
|
99% |
210
3.87 IPS |
