MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3080
Single Precision Score
5392
Half Precision Score
4456
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | comediante |
| Upload Date | January 03 2026 05:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
2216
412.1 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2519
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5999
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14124
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12149
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
97% |
2406
191.6 IPS |
|
|
Object Detection (Q)
|
94% |
1787
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5401
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3164
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5449
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10444
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7394
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16518
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26281
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21930
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3451
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4490
165.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3494
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4184
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4270
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4673
80.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4671
80.7 IPS |
