MacBook Pro (13-inch Mid 2017)
Geekbench AI Score
350
Single Precision Score
51
Half Precision Score
45
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | NickRM |
| Upload Date | December 04 2025 06:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-7360U |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | MacBook Pro (13-inch Mid 2017) |
| Model ID | MacBookPro14,1 |
| Motherboard | Apple Inc. Mac-B4831CEBD52A0C4C MacBookPro14,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7360U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
151
28.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1100
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
194
0.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
186
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
467
5.55 IPS |
|
|
Face Detection (HP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (Q)
|
100% |
162
1.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
474
3.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
314
2.42 IPS |
|
|
Depth Estimation (Q)
|
85% |
257
2.01 IPS |
|
|
Style Transfer (SP)
|
100% |
1196
1.54 IPS |
|
|
Style Transfer (HP)
|
100% |
738
0.95 IPS |
|
|
Style Transfer (Q)
|
96% |
600
0.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
173
6.38 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
131
4.82 IPS |
|
|
Text Classification (SP)
|
100% |
244
325.6 IPS |
|
|
Text Classification (HP)
|
100% |
227
303.6 IPS |
|
|
Text Classification (Q)
|
93% |
229
307.5 IPS |
|
|
Machine Translation (SP)
|
100% |
189
3.26 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.71 IPS |
|
|
Machine Translation (Q)
|
98% |
259
4.48 IPS |
