MacBook Pro (15-inch Retina Mid 2015)
Geekbench AI Score
598
Single Precision Score
395
Half Precision Score
282
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| Upload Date | November 10 2024 01:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4870HQ |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
261
48.5 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.5 IPS |
|
|
Image Classification (Q)
|
96% |
114
21.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
174
2.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
2121
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
398
0.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
364
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.3 IPS |
|
|
Object Detection (Q)
|
92% |
134
10.7 IPS |
|
|
Face Detection (SP)
|
100% |
732
8.70 IPS |
|
|
Face Detection (HP)
|
100% |
554
6.59 IPS |
|
|
Face Detection (Q)
|
100% |
226
2.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
901
6.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
616
4.75 IPS |
|
|
Depth Estimation (Q)
|
85% |
427
3.34 IPS |
|
|
Style Transfer (SP)
|
100% |
2091
2.69 IPS |
|
|
Style Transfer (HP)
|
100% |
1333
1.71 IPS |
|
|
Style Transfer (Q)
|
96% |
1123
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1075
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
226
8.33 IPS |
|
|
Text Classification (SP)
|
100% |
322
430.4 IPS |
|
|
Text Classification (HP)
|
100% |
318
424.0 IPS |
|
|
Text Classification (Q)
|
93% |
313
420.3 IPS |
|
|
Machine Translation (SP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.52 IPS |
|
|
Machine Translation (Q)
|
98% |
433
7.48 IPS |
