MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3218
Single Precision Score
14360
Half Precision Score
14679
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | December 06 2024 06:12 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| 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% |
1399
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
6030
1.12 KIPS |
|
|
Image Classification (Q)
|
99% |
6131
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8214
133.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
8319
134.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6497
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
67623
78.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
65797
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
99% |
6041
480.6 IPS |
|
|
Object Detection (Q)
|
91% |
6500
519.4 IPS |
|
|
Face Detection (SP)
|
100% |
3002
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
11988
142.4 IPS |
|
|
Face Detection (Q)
|
100% |
11561
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5854
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
43341
333.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
45911
355.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16672
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
117464
151.0 IPS |
|
|
Style Transfer (Q)
|
100% |
124590
160.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23810
879.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24737
916.5 IPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4027
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4017
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3242
56.0 IPS |
