MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3243
Single Precision Score
15768
Half Precision Score
15345
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mo_shakib |
| Upload Date | February 25 2026 09:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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% |
1305
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
6383
1.19 KIPS |
|
|
Image Classification (Q)
|
97% |
5980
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8911
144.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9236
149.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5907
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
67937
79.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
64499
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
99% |
7049
560.8 IPS |
|
|
Object Detection (Q)
|
89% |
6548
524.2 IPS |
|
|
Face Detection (SP)
|
100% |
2956
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
13987
166.2 IPS |
|
|
Face Detection (Q)
|
100% |
13056
155.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5402
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46182
355.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
46653
365.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16333
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
123063
158.2 IPS |
|
|
Style Transfer (Q)
|
96% |
114835
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3384
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24181
892.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24251
895.5 IPS |
|
|
Text Classification (SP)
|
99% |
4239
5.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6700
8.94 KIPS |
|
|
Text Classification (Q)
|
93% |
6592
8.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2459
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2710
46.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2776
48.0 IPS |
