MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3185
Single Precision Score
14976
Half Precision Score
15238
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 17 2025 09:27 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5055b) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
6303
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
6468
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8390
136.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
8494
137.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6205
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
66863
78.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
65463
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
6953
553.1 IPS |
|
|
Object Detection (Q)
|
91% |
6664
532.5 IPS |
|
|
Face Detection (SP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
13053
155.1 IPS |
|
|
Face Detection (Q)
|
100% |
14088
167.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45179
348.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
47105
364.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16796
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
118884
152.8 IPS |
|
|
Style Transfer (Q)
|
100% |
125103
160.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23661
873.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24063
891.5 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3807
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2452
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3703
64.0 IPS |
