MacBook Pro (15-inch Retina Mid 2015)
Geekbench AI Score
610
Single Precision Score
405
Half Precision Score
289
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | December 03 2024 09:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4870HQ |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
264
49.1 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (Q)
|
96% |
115
21.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
176
2.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
2179
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
419
0.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
391
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
92% |
135
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (HP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (Q)
|
100% |
234
2.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
909
7.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
85% |
431
3.37 IPS |
|
|
Style Transfer (SP)
|
100% |
2297
2.95 IPS |
|
|
Style Transfer (HP)
|
100% |
1431
1.84 IPS |
|
|
Style Transfer (Q)
|
96% |
1202
1.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1127
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
351
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
233
8.61 IPS |
|
|
Text Classification (SP)
|
100% |
330
439.8 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.4 IPS |
|
|
Text Classification (Q)
|
93% |
319
428.0 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.40 IPS |
|
|
Machine Translation (Q)
|
98% |
431
7.46 IPS |
