MacBook Pro (15-inch Retina Mid 2015)
Geekbench AI Score
614
Single Precision Score
409
Half Precision Score
291
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | BulbousSum |
| Upload Date | January 18 2025 05:45 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4870HQ |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (15-inch Retina Mid 2015) |
| Model ID | MacBookPro11,5 |
| Motherboard | Apple Inc. Mac-06F11F11946D27C5 MacBookPro11,5 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4870HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 70 Stepping 1 |
| Base Frequency | 2.50 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% |
264
49.0 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (Q)
|
96% |
115
21.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
177
2.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
2251
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
449
0.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
404
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.6 IPS |
|
|
Object Detection (Q)
|
92% |
135
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
737
8.76 IPS |
|
|
Face Detection (HP)
|
100% |
554
6.59 IPS |
|
|
Face Detection (Q)
|
100% |
234
2.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
906
6.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
650
5.00 IPS |
|
|
Depth Estimation (Q)
|
85% |
430
3.37 IPS |
|
|
Style Transfer (SP)
|
100% |
2319
2.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1448
1.86 IPS |
|
|
Style Transfer (Q)
|
96% |
1207
1.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
349
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
234
8.63 IPS |
|
|
Text Classification (SP)
|
100% |
332
442.9 IPS |
|
|
Text Classification (HP)
|
100% |
324
432.4 IPS |
|
|
Text Classification (Q)
|
93% |
322
432.6 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
438
7.55 IPS |
|
|
Machine Translation (Q)
|
98% |
435
7.52 IPS |
