MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
986
Single Precision Score
1004
Half Precision Score
467
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | Alexus03 |
| Upload Date | November 06 2025 12:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| 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% |
553
102.8 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (Q)
|
96% |
129
24.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
333
5.40 IPS |
|
|
Image Segmentation (Q)
|
99% |
162
2.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
7748
9.04 IPS |
|
|
Pose Estimation (HP)
|
99% |
12238
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
2138
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (HP)
|
100% |
612
48.6 IPS |
|
|
Object Detection (Q)
|
93% |
147
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
1855
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
1919
22.8 IPS |
|
|
Face Detection (Q)
|
100% |
230
2.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
1648
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1541
11.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
1483
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3592
4.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3535
4.54 IPS |
|
|
Style Transfer (Q)
|
96% |
2937
3.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
753
27.8 IPS |
|
|
Text Classification (SP)
|
100% |
207
276.0 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.9 IPS |
|
|
Text Classification (Q)
|
93% |
230
308.5 IPS |
|
|
Machine Translation (SP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (Q)
|
98% |
435
7.51 IPS |
