MacBook Pro (15-inch Retina Mid 2015)
Geekbench AI Score
589
Single Precision Score
397
Half Precision Score
292
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | cegywnkech |
| Upload Date | January 17 2025 10:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4980HQ |
| 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 i7-4980HQ |
| 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% |
260
48.3 IPS |
|
|
Image Classification (HP)
|
100% |
206
38.4 IPS |
|
|
Image Classification (Q)
|
96% |
121
22.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.80 IPS |
|
|
Image Segmentation (Q)
|
99% |
182
2.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
1945
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
394
0.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
363
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (Q)
|
92% |
140
11.2 IPS |
|
|
Face Detection (SP)
|
100% |
766
9.11 IPS |
|
|
Face Detection (HP)
|
100% |
594
7.06 IPS |
|
|
Face Detection (Q)
|
100% |
249
2.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
848
6.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
625
4.82 IPS |
|
|
Depth Estimation (Q)
|
85% |
437
3.42 IPS |
|
|
Style Transfer (SP)
|
100% |
2019
2.60 IPS |
|
|
Style Transfer (HP)
|
100% |
1315
1.69 IPS |
|
|
Style Transfer (Q)
|
96% |
1110
1.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1018
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
319
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
224
8.27 IPS |
|
|
Text Classification (SP)
|
100% |
356
475.8 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.0 IPS |
|
|
Text Classification (Q)
|
93% |
349
468.7 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
98% |
438
7.58 IPS |
