MacBook Pro (15-inch Retina Mid 2015)
Geekbench AI Score
551
Single Precision Score
461
Half Precision Score
362
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | oguogu |
| Upload Date | August 23 2024 02:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4770HQ |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (15-inch Retina Mid 2015) |
| Model ID | MacBookPro11,4 |
| Motherboard | Apple Inc. Mac-06F11FD93F0323C5 MacBookPro11,4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 70 Stepping 1 |
| Base Frequency | 2.20 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% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
99% |
175
32.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (Q)
|
100% |
173
2.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
2122
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1284
1.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
976
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (Q)
|
92% |
119
9.51 IPS |
|
|
Face Detection (SP)
|
100% |
607
7.21 IPS |
|
|
Face Detection (HP)
|
100% |
503
5.97 IPS |
|
|
Face Detection (Q)
|
100% |
211
2.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
867
6.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
690
5.32 IPS |
|
|
Depth Estimation (Q)
|
97% |
749
5.79 IPS |
|
|
Style Transfer (SP)
|
100% |
1986
2.55 IPS |
|
|
Style Transfer (HP)
|
100% |
1813
2.33 IPS |
|
|
Style Transfer (Q)
|
100% |
1823
2.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1160
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
799
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
331
12.3 IPS |
|
|
Text Classification (SP)
|
100% |
307
410.0 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.3 IPS |
|
|
Text Classification (Q)
|
93% |
294
394.7 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
98% |
399
6.89 IPS |
