MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
746
Single Precision Score
93
Half Precision Score
79
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | RAMFlux |
| Upload Date | May 09 2025 03:43 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-1038NG7 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (13-inch Mid 2020) |
| Model ID | MacBookPro16,2 |
| Motherboard | Apple Inc. Mac-5F9802EFE386AA28 MacBookPro16,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1038NG7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 3733 MT/s |
| Type | LPDDR4X |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
304
56.5 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2702
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
568
0.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
547
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
853
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
658
7.82 IPS |
|
|
Face Detection (Q)
|
100% |
319
3.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
956
7.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
817
6.29 IPS |
|
|
Depth Estimation (Q)
|
85% |
579
4.53 IPS |
|
|
Style Transfer (SP)
|
100% |
3076
3.95 IPS |
|
|
Style Transfer (HP)
|
100% |
2044
2.63 IPS |
|
|
Style Transfer (Q)
|
96% |
1701
2.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
413
15.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
296
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
408
544.7 IPS |
|
|
Text Classification (HP)
|
100% |
386
515.1 IPS |
|
|
Text Classification (Q)
|
93% |
382
512.8 IPS |
|
|
Machine Translation (SP)
|
100% |
438
7.55 IPS |
|
|
Machine Translation (HP)
|
100% |
516
8.90 IPS |
|
|
Machine Translation (Q)
|
98% |
518
8.95 IPS |
