MacBook Pro (15-inch Mid 2019)
Geekbench ML Score
1342
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | sfoskett |
| Upload Date | September 04 2024 05:07 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (15-inch Mid 2019) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1071
200.4 IPS |
|
|
Image Classification (F16)
|
100% |
1055
197.3 IPS |
|
|
Image Classification (I8)
|
99% |
1096
205.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
264
4.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
268
4.48 IPS |
|
|
Image Segmentation (I8)
|
100% |
289
4.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
4914
5.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
5156
6.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
5169
6.26 IPS |
|
|
Object Detection (F32)
|
100% |
991
74.0 IPS |
|
|
Object Detection (F16)
|
100% |
923
68.9 IPS |
|
|
Object Detection (I8)
|
97% |
1020
76.1 IPS |
|
|
Face Detection (F32)
|
100% |
3534
42.0 IPS |
|
|
Face Detection (F16)
|
98% |
3694
43.9 IPS |
|
|
Face Detection (I8)
|
97% |
3688
43.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4438
34.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4514
35.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
4648
36.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9873
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10054
13.2 IPS |
|
|
Style Transfer (I8)
|
100% |
9857
13.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2169
77.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2395
85.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2043
73.0 IPS |
|
|
Text Classification (F32)
|
100% |
92
132.0 IPS |
|
|
Text Classification (F16)
|
100% |
103
147.8 IPS |
|
|
Text Classification (I8)
|
96% |
292
419.4 IPS |
|
|
Machine Translation (F32)
|
100% |
259
4.77 IPS |
|
|
Machine Translation (F16)
|
100% |
259
4.77 IPS |
|
|
Machine Translation (I8)
|
99% |
259
4.77 IPS |
