MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2985
Single Precision Score
14415
Half Precision Score
15071
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | April 16 2025 03:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 3.14 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1265
235.3 IPS |
|
|
Image Classification (HP)
|
100% |
6262
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6381
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6439
104.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
8326
135.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6278
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
68067
79.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
63151
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
1352
107.3 IPS |
|
|
Object Detection (HP)
|
99% |
7122
566.5 IPS |
|
|
Object Detection (Q)
|
91% |
6938
554.4 IPS |
|
|
Face Detection (SP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
12988
154.3 IPS |
|
|
Face Detection (Q)
|
100% |
14033
166.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5602
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
43372
334.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
46946
363.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15682
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118493
152.3 IPS |
|
|
Style Transfer (Q)
|
100% |
124452
160.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3357
123.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23867
881.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24130
894.0 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3614
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3579
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3669
63.4 IPS |
