MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3006
Single Precision Score
15397
Half Precision Score
15148
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 04:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1288
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
5782
1.08 KIPS |
|
|
Image Classification (Q)
|
96% |
5480
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9558
154.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9700
157.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5951
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
69800
81.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67290
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
1438
114.1 IPS |
|
|
Object Detection (HP)
|
99% |
6984
555.5 IPS |
|
|
Object Detection (Q)
|
91% |
6541
522.7 IPS |
|
|
Face Detection (SP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
15570
185.0 IPS |
|
|
Face Detection (Q)
|
100% |
14967
177.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5434
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48938
377.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
49788
389.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15453
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
121399
156.1 IPS |
|
|
Style Transfer (Q)
|
96% |
117087
151.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3457
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23874
881.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24790
915.4 IPS |
|
|
Text Classification (SP)
|
100% |
2116
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3661
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2363
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3405
58.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3435
59.4 IPS |
