MacBook Pro (15-inch Retina Mid 2015)
Geekbench ML Score
337
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | July 10 2024 08:25 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G5066c) |
| Model | MacBook Pro (15-inch Retina Mid 2015) |
| Model ID | MacBookPro11,4 |
| Motherboard | Apple Inc. Mac-06F11FD93F0323C5 MacBookPro11,4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4980HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 70 Stepping 1 |
| Base Frequency | 2.80 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% |
184
34.5 IPS |
|
|
Image Classification (F16)
|
100% |
138
25.9 IPS |
|
|
Image Classification (I8)
|
99% |
124
23.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
181
3.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
141
2.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
130
2.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
1556
1.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
979
1.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
727
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
179
13.4 IPS |
|
|
Object Detection (F16)
|
100% |
146
10.9 IPS |
|
|
Object Detection (I8)
|
97% |
159
11.8 IPS |
|
|
Face Detection (F32)
|
100% |
395
4.70 IPS |
|
|
Face Detection (F16)
|
98% |
304
3.61 IPS |
|
|
Face Detection (I8)
|
97% |
350
4.16 IPS |
|
|
Depth Estimation (F32)
|
100% |
664
5.15 IPS |
|
|
Depth Estimation (F16)
|
100% |
625
4.85 IPS |
|
|
Depth Estimation (I8)
|
99% |
619
4.80 IPS |
|
|
Style Transfer (F32)
|
100% |
1762
2.32 IPS |
|
|
Style Transfer (F16)
|
100% |
1482
1.95 IPS |
|
|
Style Transfer (I8)
|
100% |
1114
1.47 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
753
26.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
515
18.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
548
19.6 IPS |
|
|
Text Classification (F32)
|
100% |
176
252.3 IPS |
|
|
Text Classification (F16)
|
100% |
171
245.9 IPS |
|
|
Text Classification (I8)
|
96% |
170
244.4 IPS |
|
|
Machine Translation (F32)
|
100% |
137
2.51 IPS |
|
|
Machine Translation (F16)
|
100% |
176
3.24 IPS |
|
|
Machine Translation (I8)
|
99% |
182
3.35 IPS |
