MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2583
Single Precision Score
13177
Half Precision Score
13984
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | August 20 2025 04:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1049
195.1 IPS |
|
|
Image Classification (HP)
|
100% |
5984
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
6322
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7033
114.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
7457
120.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5263
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
60599
70.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
59400
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
1231
97.6 IPS |
|
|
Object Detection (HP)
|
99% |
6022
479.0 IPS |
|
|
Object Detection (Q)
|
91% |
6394
510.9 IPS |
|
|
Face Detection (SP)
|
100% |
2485
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
9008
107.0 IPS |
|
|
Face Detection (Q)
|
100% |
11283
134.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4445
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
39830
306.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
44728
345.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14597
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
117025
150.4 IPS |
|
|
Style Transfer (Q)
|
100% |
122708
157.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3295
121.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23426
865.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24182
895.9 IPS |
|
|
Text Classification (SP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (HP)
|
99% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2553
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2673
46.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2661
46.0 IPS |
