MacBook Pro (15-inch Retina Late 2013)
Geekbench AI Score
574
Single Precision Score
77
Half Precision Score
63
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | tatny23 |
| Upload Date | August 08 2025 09:34 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4850HQ |
| 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% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2106
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
416
0.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
383
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
681
8.10 IPS |
|
|
Face Detection (HP)
|
100% |
512
6.09 IPS |
|
|
Face Detection (Q)
|
100% |
216
2.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
839
6.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
604
4.66 IPS |
|
|
Depth Estimation (Q)
|
85% |
400
3.13 IPS |
|
|
Style Transfer (SP)
|
100% |
2369
3.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1488
1.91 IPS |
|
|
Style Transfer (Q)
|
96% |
1215
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
218
8.03 IPS |
|
|
Text Classification (SP)
|
100% |
308
410.8 IPS |
|
|
Text Classification (HP)
|
100% |
306
407.9 IPS |
|
|
Text Classification (Q)
|
93% |
304
408.1 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (Q)
|
98% |
413
7.14 IPS |
