MacBook Pro (15-inch Retina Mid 2015)
Geekbench AI Score
527
Single Precision Score
74
Half Precision Score
60
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | RAMFlux |
| Upload Date | April 03 2025 05:02 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4770HQ |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (15-inch Retina Mid 2015) |
| Model ID | MacBookPro11,4 |
| Motherboard | Apple Inc. Mac-06F11FD93F0323C5 MacBookPro11,4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 70 Stepping 1 |
| Base Frequency | 2.20 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% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1514
1.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
361
0.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
334
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
673
7.99 IPS |
|
|
Face Detection (HP)
|
100% |
512
6.08 IPS |
|
|
Face Detection (Q)
|
100% |
207
2.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
756
5.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
572
4.41 IPS |
|
|
Depth Estimation (Q)
|
85% |
364
2.85 IPS |
|
|
Style Transfer (SP)
|
100% |
1953
2.51 IPS |
|
|
Style Transfer (HP)
|
100% |
1291
1.66 IPS |
|
|
Style Transfer (Q)
|
96% |
1086
1.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
207
7.65 IPS |
|
|
Text Classification (SP)
|
100% |
316
421.4 IPS |
|
|
Text Classification (HP)
|
100% |
309
412.0 IPS |
|
|
Text Classification (Q)
|
93% |
307
411.8 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.71 IPS |
|
|
Machine Translation (Q)
|
98% |
390
6.73 IPS |
