MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
761
Single Precision Score
97
Half Precision Score
84
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| Upload Date | December 20 2025 11:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-1068NG7 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| Model | MacBook Pro (13-inch Mid 2020) |
| Model ID | MacBookPro16,2 |
| Motherboard | Apple Inc. Mac-5F9802EFE386AA28 MacBookPro16,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1068NG7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3733 MT/s |
| Type | LPDDR4X |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2215
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
628
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
604
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.6 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
884
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
704
8.37 IPS |
|
|
Face Detection (Q)
|
100% |
338
4.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
938
7.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
897
6.91 IPS |
|
|
Depth Estimation (Q)
|
85% |
629
4.92 IPS |
|
|
Style Transfer (SP)
|
100% |
2960
3.81 IPS |
|
|
Style Transfer (HP)
|
100% |
2210
2.84 IPS |
|
|
Style Transfer (Q)
|
96% |
1864
2.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1175
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
320
11.8 IPS |
|
|
Text Classification (SP)
|
100% |
507
676.7 IPS |
|
|
Text Classification (HP)
|
100% |
372
496.3 IPS |
|
|
Text Classification (Q)
|
93% |
423
567.3 IPS |
|
|
Machine Translation (SP)
|
100% |
463
7.98 IPS |
|
|
Machine Translation (HP)
|
100% |
551
9.50 IPS |
|
|
Machine Translation (Q)
|
98% |
557
9.62 IPS |
