MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
671
Single Precision Score
673
Half Precision Score
312
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | December 12 2025 04:42 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics 645 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
423
78.7 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.1 IPS |
|
|
Image Classification (Q)
|
96% |
99
18.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
109
1.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
5925
6.91 IPS |
|
|
Pose Estimation (HP)
|
99% |
9864
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
1204
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
94% |
115
9.14 IPS |
|
|
Face Detection (SP)
|
100% |
1402
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (Q)
|
100% |
159
1.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
990
7.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
958
7.38 IPS |
|
|
Depth Estimation (Q)
|
85% |
916
7.16 IPS |
|
|
Style Transfer (SP)
|
100% |
1979
2.54 IPS |
|
|
Style Transfer (HP)
|
100% |
1942
2.50 IPS |
|
|
Style Transfer (Q)
|
96% |
1878
2.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
455
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
131
175.3 IPS |
|
|
Text Classification (HP)
|
100% |
143
190.9 IPS |
|
|
Text Classification (Q)
|
93% |
154
206.3 IPS |
|
|
Machine Translation (SP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.54 IPS |
|
|
Machine Translation (Q)
|
98% |
308
5.33 IPS |
