MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3201
Single Precision Score
15301
Half Precision Score
15485
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 09 2024 04:35 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 3.07 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
6183
1.15 KIPS |
|
|
Image Classification (Q)
|
99% |
6538
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8279
134.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
8290
134.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
68160
79.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
64951
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.4 IPS |
|
|
Object Detection (HP)
|
99% |
6531
519.6 IPS |
|
|
Object Detection (Q)
|
91% |
6732
537.9 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
12580
149.5 IPS |
|
|
Face Detection (Q)
|
100% |
11661
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5791
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
44605
343.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
47091
364.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16664
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
118433
152.2 IPS |
|
|
Style Transfer (Q)
|
100% |
124718
160.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23537
869.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24469
906.5 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3846
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5049
87.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5190
89.7 IPS |
