MacBook Pro (13-inch Retina Early 2015)
Geekbench AI Score
360
Single Precision Score
245
Half Precision Score
198
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | BulbousSum |
| Upload Date | December 15 2024 02:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-5257U |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (13-inch Retina Early 2015) |
| Model ID | MacBookPro12,1 |
| Motherboard | Apple Inc. Mac-E43C1C25D4880AD6 MacBookPro12,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-5257U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 1867 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (Q)
|
96% |
87
16.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
145
2.35 IPS |
|
|
Image Segmentation (Q)
|
99% |
122
1.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
1127
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
213
0.25 IPS |
|
|
Object Detection (SP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (HP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (Q)
|
92% |
94
7.51 IPS |
|
|
Face Detection (SP)
|
100% |
437
5.20 IPS |
|
|
Face Detection (HP)
|
100% |
336
3.99 IPS |
|
|
Face Detection (Q)
|
100% |
180
2.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
510
3.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
371
2.86 IPS |
|
|
Depth Estimation (Q)
|
85% |
287
2.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1277
1.64 IPS |
|
|
Style Transfer (HP)
|
100% |
815
1.05 IPS |
|
|
Style Transfer (Q)
|
96% |
728
0.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
546
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
189
6.97 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
148
5.46 IPS |
|
|
Text Classification (SP)
|
100% |
295
394.1 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.2 IPS |
|
|
Text Classification (Q)
|
93% |
290
389.8 IPS |
|
|
Machine Translation (SP)
|
100% |
200
3.45 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.57 IPS |
|
|
Machine Translation (Q)
|
98% |
273
4.71 IPS |
