MacBook Pro (14-inch, 2021)
Geekbench AI Score
3669
Single Precision Score
16190
Half Precision Score
16367
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 06 2025 04:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
6936
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6651
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9643
156.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10431
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11093
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70247
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67730
79.4 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
99% |
7950
632.4 IPS |
|
|
Object Detection (Q)
|
91% |
7513
600.3 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
13876
164.9 IPS |
|
|
Face Detection (Q)
|
100% |
14419
171.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5851
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51616
397.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53791
420.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21830
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121430
156.1 IPS |
|
|
Style Transfer (Q)
|
96% |
117359
151.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4357
160.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25740
950.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27902
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4011
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3836
66.3 IPS |
