MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3077
Single Precision Score
15147
Half Precision Score
15556
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | May 07 2025 02:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1324
246.3 IPS |
|
|
Image Classification (HP)
|
100% |
6305
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
6477
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1280
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8425
136.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
8391
136.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6479
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
68946
80.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
66194
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
99% |
7250
576.7 IPS |
|
|
Object Detection (Q)
|
91% |
6902
551.5 IPS |
|
|
Face Detection (SP)
|
100% |
2921
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
12885
153.1 IPS |
|
|
Face Detection (Q)
|
100% |
14743
175.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5144
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
44219
340.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
48341
373.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15335
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
118896
152.8 IPS |
|
|
Style Transfer (Q)
|
100% |
125449
161.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24138
891.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24801
918.8 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4052
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4023
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2373
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3614
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3748
64.8 IPS |
