MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
682
Single Precision Score
638
Half Precision Score
342
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| Upload Date | November 09 2024 07:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics 645 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
465
86.5 IPS |
|
|
Image Classification (HP)
|
100% |
317
58.9 IPS |
|
|
Image Classification (Q)
|
96% |
128
23.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (Q)
|
99% |
134
2.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
5855
6.83 IPS |
|
|
Pose Estimation (HP)
|
99% |
9788
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
1510
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (HP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (Q)
|
94% |
145
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
1500
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (Q)
|
100% |
209
2.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
957
7.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
923
7.11 IPS |
|
|
Depth Estimation (Q)
|
85% |
886
6.93 IPS |
|
|
Style Transfer (SP)
|
100% |
1904
2.45 IPS |
|
|
Style Transfer (HP)
|
100% |
1765
2.27 IPS |
|
|
Style Transfer (Q)
|
96% |
1787
2.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
436
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
128
171.4 IPS |
|
|
Text Classification (HP)
|
100% |
135
180.5 IPS |
|
|
Text Classification (Q)
|
93% |
99
133.2 IPS |
|
|
Machine Translation (SP)
|
100% |
559
9.64 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.06 IPS |
|
|
Machine Translation (Q)
|
98% |
409
7.08 IPS |
