MacBook Pro (13-inch Retina Mid 2014)
Geekbench AI Score
365
Single Precision Score
347
Half Precision Score
100
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Jayfries |
| Upload Date | December 29 2024 04:32 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel Iris Graphics |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| Model | MacBook Pro (13-inch Retina Mid 2014) |
| Model ID | MacBookPro11,1 |
| Motherboard | Apple Inc. Mac-189A3D4F975D5FFC MacBookPro11,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4278U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
380
70.6 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.2 IPS |
|
|
Image Classification (Q)
|
96% |
77
14.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (Q)
|
99% |
90
1.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
1244
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1147
1.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
644
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (HP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (Q)
|
93% |
85
6.78 IPS |
|
|
Face Detection (SP)
|
100% |
970
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
928
11.0 IPS |
|
|
Face Detection (Q)
|
100% |
124
1.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
699
5.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
672
5.17 IPS |
|
|
Depth Estimation (Q)
|
1% |
2
4.85 IPS |
|
|
Style Transfer (SP)
|
100% |
1218
1.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1218
1.57 IPS |
|
|
Style Transfer (Q)
|
96% |
1181
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
302
11.2 IPS |
|
|
Text Classification (SP)
|
29% |
22
376.3 IPS |
|
|
Text Classification (HP)
|
29% |
22
384.6 IPS |
|
|
Text Classification (Q)
|
29% |
13
232.9 IPS |
|
|
Machine Translation (SP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
98% |
253
4.37 IPS |
