MacBook Pro (14-inch, 2021) NPU MacBook Pro (14-inch, 2021)
Geekbench AI Score
1876
Single Precision Score
12692
Half Precision Score
10577
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | chemeya |
| Upload Date | October 26 2025 06:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
935
173.8 IPS |
|
|
Image Classification (HP)
|
100% |
6892
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6374
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3848
62.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
513
8.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
9810
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
68385
79.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66922
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
953
75.6 IPS |
|
|
Object Detection (HP)
|
99% |
7572
602.3 IPS |
|
|
Object Detection (Q)
|
93% |
7125
568.5 IPS |
|
|
Face Detection (SP)
|
100% |
1844
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
10606
126.0 IPS |
|
|
Face Detection (Q)
|
100% |
10462
124.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3432
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
45955
354.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
54906
429.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12151
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
117039
150.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114272
147.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2211
81.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18674
689.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23459
866.2 IPS |
|
|
Text Classification (SP)
|
100% |
350
467.7 IPS |
|
|
Text Classification (HP)
|
100% |
3453
4.61 KIPS |
|
|
Text Classification (Q)
|
93% |
3437
4.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2148
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2124
36.7 IPS |
