MacBook Pro (15-inch Retina Mid 2014)
Geekbench AI Score
645
Single Precision Score
83
Half Precision Score
68
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | felixskw |
| Upload Date | September 21 2025 01:05 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4980HQ |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G210) |
| Model | MacBook Pro (15-inch Retina Mid 2014) |
| Model ID | MacBookPro11,3 |
| Motherboard | Apple Inc. Mac-2BD1B31983FE1663 MacBookPro11,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4980HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 70 Stepping 1 |
| Base Frequency | 2.80 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% |
281
52.2 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
337
5.47 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2301
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
434
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
402
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
760
9.03 IPS |
|
|
Face Detection (HP)
|
100% |
587
6.97 IPS |
|
|
Face Detection (Q)
|
100% |
250
2.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
917
7.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
673
5.19 IPS |
|
|
Depth Estimation (Q)
|
85% |
452
3.54 IPS |
|
|
Style Transfer (SP)
|
100% |
2590
3.33 IPS |
|
|
Style Transfer (HP)
|
100% |
1585
2.04 IPS |
|
|
Style Transfer (Q)
|
96% |
1310
1.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1149
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
243
8.97 IPS |
|
|
Text Classification (SP)
|
100% |
365
487.6 IPS |
|
|
Text Classification (HP)
|
100% |
362
482.9 IPS |
|
|
Text Classification (Q)
|
93% |
359
482.2 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
98% |
455
7.86 IPS |
