MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3218
Single Precision Score
15389
Half Precision Score
14895
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | janniebasson001 |
| Upload Date | January 25 2025 01:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1398
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
6043
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5720
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9558
154.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9793
158.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6540
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68182
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65512
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
7035
559.6 IPS |
|
|
Object Detection (Q)
|
91% |
6488
518.4 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
15394
182.9 IPS |
|
|
Face Detection (Q)
|
100% |
12567
149.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5820
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47342
364.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47875
374.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16650
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
121104
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114931
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23935
883.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24480
903.9 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3963
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3367
58.2 IPS |
