MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3089
Single Precision Score
15018
Half Precision Score
14630
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | BlueDevilHH |
| Upload Date | September 21 2025 01:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
6301
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5939
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8996
145.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9136
148.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6016
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
67700
79.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65134
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
99% |
6887
547.9 IPS |
|
|
Object Detection (Q)
|
91% |
6693
534.8 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
13633
162.0 IPS |
|
|
Face Detection (Q)
|
100% |
12600
149.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5496
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46352
357.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
46209
361.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16520
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
122068
156.9 IPS |
|
|
Style Transfer (Q)
|
96% |
114352
147.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3460
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24213
894.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24190
893.2 IPS |
|
|
Text Classification (SP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4278
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4161
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2764
47.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2834
49.0 IPS |
