MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
733
Single Precision Score
755
Half Precision Score
339
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | iantm |
| Upload Date | January 26 2026 10:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics 645 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G508) |
| Model | MacBook Pro (13-inch Mid 2020) |
| Model ID | MacBookPro16,3 |
| Motherboard | Apple Inc. Mac-E7203C0F68AA0004 MacBookPro16,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8257U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
624
116.0 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.5 IPS |
|
|
Image Classification (Q)
|
96% |
106
19.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (Q)
|
99% |
131
2.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
5679
6.63 IPS |
|
|
Pose Estimation (HP)
|
99% |
9948
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
1498
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
626
49.6 IPS |
|
|
Object Detection (HP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (Q)
|
94% |
122
9.73 IPS |
|
|
Face Detection (SP)
|
100% |
1926
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (Q)
|
100% |
175
2.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
993
7.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
954
7.35 IPS |
|
|
Depth Estimation (Q)
|
85% |
914
7.14 IPS |
|
|
Style Transfer (SP)
|
100% |
1828
2.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1770
2.28 IPS |
|
|
Style Transfer (Q)
|
96% |
1762
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
423
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
456
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
176
234.8 IPS |
|
|
Text Classification (HP)
|
100% |
195
260.1 IPS |
|
|
Text Classification (Q)
|
93% |
201
270.2 IPS |
|
|
Machine Translation (SP)
|
100% |
418
7.20 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (Q)
|
98% |
311
5.38 IPS |
