MacBook Pro (13-inch Retina Mid 2014)
Geekbench AI Score
352
Single Precision Score
339
Half Precision Score
102
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| Upload Date | September 10 2024 08:10 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel Iris Graphics |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (13-inch Retina Mid 2014) |
| Model ID | MacBookPro11,1 |
| Motherboard | Apple Inc. Mac-189A3D4F975D5FFC MacBookPro11,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4308U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.80 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% |
368
68.5 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.3 IPS |
|
|
Image Classification (Q)
|
96% |
81
15.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
93
1.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
1114
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1027
1.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
667
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
93% |
89
7.12 IPS |
|
|
Face Detection (SP)
|
100% |
963
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
940
11.2 IPS |
|
|
Face Detection (Q)
|
100% |
130
1.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
658
5.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
634
4.88 IPS |
|
|
Depth Estimation (Q)
|
1% |
2
4.83 IPS |
|
|
Style Transfer (SP)
|
100% |
1102
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
1123
1.44 IPS |
|
|
Style Transfer (Q)
|
96% |
1157
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
301
11.1 IPS |
|
|
Text Classification (SP)
|
29% |
22
378.6 IPS |
|
|
Text Classification (HP)
|
29% |
23
392.3 IPS |
|
|
Text Classification (Q)
|
29% |
13
228.4 IPS |
|
|
Machine Translation (SP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (Q)
|
98% |
246
4.26 IPS |
