MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3185
Single Precision Score
15444
Half Precision Score
15982
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 22 2024 05:50 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B82) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
6404
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6702
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8410
136.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
8393
136.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6534
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
69103
80.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
65921
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1512
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7188
571.8 IPS |
|
|
Object Detection (Q)
|
91% |
6904
551.7 IPS |
|
|
Face Detection (SP)
|
100% |
2721
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
10940
130.0 IPS |
|
|
Face Detection (Q)
|
100% |
14270
169.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5810
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
45894
353.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
47414
366.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16604
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
118759
152.7 IPS |
|
|
Style Transfer (Q)
|
100% |
124732
160.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23809
879.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24174
895.6 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4118
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3984
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4939
85.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5227
90.3 IPS |
