MacBook Pro (13-inch Retina Early 2015)
Geekbench AI Score
377
Single Precision Score
467
Half Precision Score
196
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Jouwee |
| Upload Date | October 29 2024 08:23 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Graphics 6100 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
382
71.1 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.2 IPS |
|
|
Image Classification (Q)
|
96% |
87
16.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
104
1.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
1268
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1267
1.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
701
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (HP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
93% |
98
7.79 IPS |
|
|
Face Detection (SP)
|
100% |
986
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
936
11.1 IPS |
|
|
Face Detection (Q)
|
100% |
148
1.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
678
5.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
679
5.23 IPS |
|
|
Depth Estimation (Q)
|
85% |
633
4.95 IPS |
|
|
Style Transfer (SP)
|
100% |
1381
1.78 IPS |
|
|
Style Transfer (HP)
|
100% |
1398
1.80 IPS |
|
|
Style Transfer (Q)
|
96% |
1300
1.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
323
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
311
11.5 IPS |
|
|
Text Classification (SP)
|
29% |
23
403.3 IPS |
|
|
Text Classification (HP)
|
71% |
271
392.2 IPS |
|
|
Text Classification (Q)
|
29% |
14
241.8 IPS |
|
|
Machine Translation (SP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
98% |
261
4.51 IPS |
