MacBook Pro (15-inch Retina Late 2013)
Geekbench AI Score
357
Single Precision Score
333
Half Precision Score
210
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | tatny23 |
| Upload Date | August 08 2025 09:53 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | NVIDIA GeForce GT 750M |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (15-inch Retina Late 2013) |
| Model ID | MacBookPro11,3 |
| Motherboard | Apple Inc. Mac-2BD1B31983FE1663 MacBookPro11,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4850HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 70 Stepping 1 |
| Base Frequency | 2.30 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% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (Q)
|
96% |
94
17.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
113
1.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
65
1.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
653
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
432
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
93% |
90
7.17 IPS |
|
|
Face Detection (SP)
|
100% |
736
8.75 IPS |
|
|
Face Detection (HP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (Q)
|
100% |
122
1.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
1026
7.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
945
7.28 IPS |
|
|
Depth Estimation (Q)
|
85% |
893
6.98 IPS |
|
|
Style Transfer (SP)
|
100% |
2057
2.64 IPS |
|
|
Style Transfer (HP)
|
100% |
1596
2.05 IPS |
|
|
Style Transfer (Q)
|
96% |
1411
1.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
399
14.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
353
13.0 IPS |
|
|
Text Classification (SP)
|
100% |
90
120.2 IPS |
|
|
Text Classification (HP)
|
100% |
101
134.3 IPS |
|
|
Text Classification (Q)
|
93% |
93
125.3 IPS |
|
|
Machine Translation (SP)
|
100% |
182
3.14 IPS |
|
|
Machine Translation (HP)
|
100% |
139
2.40 IPS |
|
|
Machine Translation (Q)
|
98% |
144
2.48 IPS |
