MacBook Pro (15-inch Retina Mid 2014)
Geekbench AI Score
436
Single Precision Score
422
Half Precision Score
281
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | felixskw |
| Upload Date | September 21 2025 02:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | NVIDIA GeForce GT 750M |
| 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% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
226
42.1 IPS |
|
|
Image Classification (Q)
|
96% |
101
18.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
149
2.42 IPS |
|
|
Image Segmentation (Q)
|
99% |
98
1.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
648
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
647
0.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
454
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
93% |
100
7.95 IPS |
|
|
Face Detection (SP)
|
100% |
760
9.03 IPS |
|
|
Face Detection (HP)
|
100% |
735
8.73 IPS |
|
|
Face Detection (Q)
|
100% |
152
1.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
1027
7.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
951
7.32 IPS |
|
|
Depth Estimation (Q)
|
85% |
905
7.08 IPS |
|
|
Style Transfer (SP)
|
100% |
2044
2.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1592
2.05 IPS |
|
|
Style Transfer (Q)
|
96% |
1566
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
414
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
140
187.5 IPS |
|
|
Text Classification (HP)
|
100% |
205
273.5 IPS |
|
|
Text Classification (Q)
|
93% |
193
258.8 IPS |
|
|
Machine Translation (SP)
|
100% |
530
9.13 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.28 IPS |
|
|
Machine Translation (Q)
|
98% |
409
7.07 IPS |
