MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3197
Single Precision Score
14534
Half Precision Score
14985
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 07 2024 05:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
1371
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
6151
1.14 KIPS |
|
|
Image Classification (Q)
|
99% |
6436
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8285
134.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
8498
137.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
68733
80.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
65695
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.4 IPS |
|
|
Object Detection (HP)
|
99% |
7058
561.5 IPS |
|
|
Object Detection (Q)
|
91% |
6856
547.8 IPS |
|
|
Face Detection (SP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
10721
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
12938
153.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5791
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
45440
350.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
47107
364.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16736
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
118272
152.0 IPS |
|
|
Style Transfer (Q)
|
100% |
125336
161.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3762
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23551
869.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23985
888.6 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3873
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2425
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3161
54.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3266
56.4 IPS |
