MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4032
Single Precision Score
4495
Half Precision Score
3800
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | June 23 2025 03:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.08 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1808
336.1 IPS |
|
|
Image Classification (HP)
|
100% |
1353
251.6 IPS |
|
|
Image Classification (Q)
|
99% |
2269
423.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3448
55.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2143
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16732
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18507
21.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
9653
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
100% |
1935
153.5 IPS |
|
|
Object Detection (Q)
|
92% |
1869
149.2 IPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5617
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
5529
65.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9728
74.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8166
62.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
2281
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26492
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29501
37.9 IPS |
|
|
Style Transfer (Q)
|
100% |
24181
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4005
147.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4298
158.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4730
175.2 IPS |
|
|
Text Classification (SP)
|
100% |
1702
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (Q)
|
93% |
3553
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1399
24.2 IPS |
