MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2887
Single Precision Score
4860
Half Precision Score
4133
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 08 2025 05:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5040f) |
| Model | MacBook Pro (13-inch Late 2020) |
| Model ID | MacBookPro17,1 |
| Motherboard | MacBookPro17,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
1836
341.5 IPS |
|
|
Image Classification (Q)
|
99% |
2109
393.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2048
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6103
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
13887
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11667
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.1 IPS |
|
|
Object Detection (HP)
|
97% |
2398
190.9 IPS |
|
|
Object Detection (Q)
|
94% |
1617
128.9 IPS |
|
|
Face Detection (SP)
|
100% |
2872
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
5413
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
2368
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5084
39.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8819
68.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
9899
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14442
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23000
29.6 IPS |
|
|
Style Transfer (Q)
|
100% |
22925
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3283
121.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2917
108.1 IPS |
|
|
Text Classification (SP)
|
100% |
2052
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3656
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3569
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2233
38.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3590
62.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3191
55.1 IPS |
