MacBook Pro (13-inch Mid 2017)
Geekbench AI Score
718
Single Precision Score
729
Half Precision Score
314
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | NickRM |
| Upload Date | December 04 2025 06:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics 640 |
| 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% |
626
116.5 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (Q)
|
96% |
97
18.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
177
2.86 IPS |
|
|
Image Segmentation (Q)
|
99% |
107
1.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
5720
6.67 IPS |
|
|
Pose Estimation (HP)
|
99% |
9816
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
1304
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (HP)
|
100% |
650
51.5 IPS |
|
|
Object Detection (Q)
|
94% |
100
7.94 IPS |
|
|
Face Detection (SP)
|
100% |
1831
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
1689
20.1 IPS |
|
|
Face Detection (Q)
|
100% |
167
1.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
934
7.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
913
7.03 IPS |
|
|
Depth Estimation (Q)
|
85% |
900
7.04 IPS |
|
|
Style Transfer (SP)
|
100% |
1889
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
1860
2.39 IPS |
|
|
Style Transfer (Q)
|
96% |
1781
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
436
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.2 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.6 IPS |
|
|
Text Classification (Q)
|
93% |
199
266.5 IPS |
|
|
Machine Translation (SP)
|
100% |
378
6.50 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.30 IPS |
|
|
Machine Translation (Q)
|
98% |
305
5.27 IPS |
