MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2836
Single Precision Score
4288
Half Precision Score
3578
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Ashwin2007 |
| Upload Date | August 27 2024 03:28 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
1695
315.1 IPS |
|
|
Image Classification (Q)
|
99% |
1692
315.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1173
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5856
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13548
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11566
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (HP)
|
97% |
1969
156.8 IPS |
|
|
Object Detection (Q)
|
94% |
1531
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
2419
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (Q)
|
100% |
2633
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5237
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8203
63.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
3984
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15623
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24776
31.9 IPS |
|
|
Style Transfer (Q)
|
100% |
24801
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3374
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4355
160.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3365
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3661
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3625
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3081
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3085
53.3 IPS |
