MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
869
Single Precision Score
900
Half Precision Score
455
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | slawomirrybarczyk |
| Upload Date | July 16 2025 05:32 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
615
114.4 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (Q)
|
96% |
123
23.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (Q)
|
99% |
182
2.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
7963
9.29 IPS |
|
|
Pose Estimation (HP)
|
99% |
12130
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
1726
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (HP)
|
100% |
689
54.6 IPS |
|
|
Object Detection (Q)
|
93% |
148
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
1801
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (Q)
|
100% |
257
3.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
1421
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1329
10.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1266
9.89 IPS |
|
|
Style Transfer (SP)
|
100% |
3129
4.02 IPS |
|
|
Style Transfer (HP)
|
100% |
3072
3.95 IPS |
|
|
Style Transfer (Q)
|
96% |
2993
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
645
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
178
237.1 IPS |
|
|
Text Classification (HP)
|
100% |
254
338.9 IPS |
|
|
Text Classification (Q)
|
93% |
252
337.6 IPS |
|
|
Machine Translation (SP)
|
100% |
419
7.21 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (Q)
|
98% |
428
7.40 IPS |
