MacBook Pro (13-inch Retina Early 2015)
Geekbench AI Score
376
Single Precision Score
470
Half Precision Score
264
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | BulbousSum |
| Upload Date | December 15 2024 02:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Graphics 6100 |
| 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% |
355
66.0 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.5 IPS |
|
|
Image Classification (Q)
|
96% |
92
17.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (Q)
|
99% |
105
1.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
1273
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1273
1.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
710
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (HP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (Q)
|
93% |
98
7.83 IPS |
|
|
Face Detection (SP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (Q)
|
100% |
149
1.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
686
5.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
692
5.33 IPS |
|
|
Depth Estimation (Q)
|
85% |
664
5.20 IPS |
|
|
Style Transfer (SP)
|
100% |
1388
1.78 IPS |
|
|
Style Transfer (HP)
|
100% |
1401
1.80 IPS |
|
|
Style Transfer (Q)
|
96% |
1304
1.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
310
11.4 IPS |
|
|
Text Classification (SP)
|
29% |
23
403.4 IPS |
|
|
Text Classification (HP)
|
71% |
273
394.9 IPS |
|
|
Text Classification (Q)
|
71% |
236
341.0 IPS |
|
|
Machine Translation (SP)
|
100% |
313
5.40 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
98% |
269
4.64 IPS |
