MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3184
Single Precision Score
15835
Half Precision Score
15502
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:06 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
6307
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5913
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9704
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10094
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6333
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
69703
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66719
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7258
577.4 IPS |
|
|
Object Detection (Q)
|
91% |
6764
540.4 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16857
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
15485
184.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5670
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48312
372.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
48880
382.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16938
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121882
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115338
148.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3624
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23436
865.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24078
889.1 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3772
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3768
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2513
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3649
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3759
65.0 IPS |
