MacBook Pro (15-inch Retina Late 2013)
Geekbench AI Score
408
Single Precision Score
308
Half Precision Score
205
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Sean_Fox |
| Upload Date | March 13 2025 05:52 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4750HQ |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (15-inch Retina Late 2013) |
| Model ID | MacBookPro11,2 |
| Motherboard | Apple Inc. Mac-3CBD00234E554E41 MacBookPro11,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4750HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 70 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
220
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
96% |
99
18.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.51 IPS |
|
|
Image Segmentation (Q)
|
99% |
150
2.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
1815
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
370
0.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
346
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
226
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.2 IPS |
|
|
Object Detection (Q)
|
92% |
114
9.14 IPS |
|
|
Face Detection (SP)
|
100% |
625
7.43 IPS |
|
|
Face Detection (HP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (Q)
|
100% |
198
2.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
762
5.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
560
4.31 IPS |
|
|
Depth Estimation (Q)
|
85% |
366
2.86 IPS |
|
|
Style Transfer (SP)
|
100% |
1922
2.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1257
1.62 IPS |
|
|
Style Transfer (Q)
|
96% |
606
0.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
350
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
177
6.54 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
104
3.85 IPS |
|
|
Text Classification (SP)
|
100% |
110
147.2 IPS |
|
|
Text Classification (HP)
|
100% |
130
173.9 IPS |
|
|
Text Classification (Q)
|
93% |
136
182.3 IPS |
|
|
Machine Translation (SP)
|
100% |
146
2.52 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
98% |
376
6.49 IPS |
