MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3216
Single Precision Score
13858
Half Precision Score
14048
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | eriksp |
| Upload Date | August 15 2024 05:08 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
6209
1.15 KIPS |
|
|
Image Classification (Q)
|
99% |
6565
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6156
99.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
6164
99.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6539
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
67640
78.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
64491
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7073
562.6 IPS |
|
|
Object Detection (Q)
|
91% |
6734
538.1 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
13027
154.8 IPS |
|
|
Face Detection (Q)
|
100% |
14152
168.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5804
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
44236
340.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
47120
364.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16688
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
118243
152.0 IPS |
|
|
Style Transfer (Q)
|
100% |
123807
159.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23318
861.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23581
873.6 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3814
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2452
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2305
39.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2294
39.6 IPS |
