MacBook Pro (15-inch Retina Mid 2015)
Geekbench AI Score
561
Single Precision Score
370
Half Precision Score
273
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | paulorenato |
| Upload Date | February 21 2025 12:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4980HQ |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (15-inch Retina Mid 2015) |
| Model ID | MacBookPro11,4 |
| Motherboard | Acidanthera Mac-06F11FD93F0323C5 MacBookPro11,4 |
| 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% |
273
50.7 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.1 IPS |
|
|
Image Classification (Q)
|
96% |
122
22.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.88 IPS |
|
|
Image Segmentation (Q)
|
99% |
179
2.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
2074
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
398
0.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
368
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (Q)
|
92% |
131
10.4 IPS |
|
|
Face Detection (SP)
|
100% |
673
8.00 IPS |
|
|
Face Detection (HP)
|
100% |
490
5.83 IPS |
|
|
Face Detection (Q)
|
100% |
226
2.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
756
5.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
582
4.49 IPS |
|
|
Depth Estimation (Q)
|
85% |
374
2.93 IPS |
|
|
Style Transfer (SP)
|
100% |
1788
2.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1136
1.46 IPS |
|
|
Style Transfer (Q)
|
96% |
1005
1.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
196
7.25 IPS |
|
|
Text Classification (SP)
|
100% |
336
448.6 IPS |
|
|
Text Classification (HP)
|
100% |
340
453.5 IPS |
|
|
Text Classification (Q)
|
93% |
342
458.5 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
385
6.64 IPS |
|
|
Machine Translation (Q)
|
98% |
390
6.73 IPS |
