MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
506
Single Precision Score
72
Half Precision Score
61
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | iantm |
| Upload Date | January 26 2026 10:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8257U |
| 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% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1464
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
317
0.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
347
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (HP)
|
100% |
536
6.37 IPS |
|
|
Face Detection (Q)
|
100% |
228
2.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
806
6.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
574
4.43 IPS |
|
|
Depth Estimation (Q)
|
85% |
399
3.12 IPS |
|
|
Style Transfer (SP)
|
100% |
2272
2.92 IPS |
|
|
Style Transfer (HP)
|
100% |
1375
1.77 IPS |
|
|
Style Transfer (Q)
|
96% |
1106
1.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
294
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
203
7.50 IPS |
|
|
Text Classification (SP)
|
100% |
283
378.3 IPS |
|
|
Text Classification (HP)
|
100% |
292
390.3 IPS |
|
|
Text Classification (Q)
|
93% |
297
398.4 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (Q)
|
98% |
356
6.16 IPS |
