MacBook Pro (14-inch, 2021)
Geekbench AI Score
3737
Single Precision Score
16256
Half Precision Score
16246
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | samusko14 |
| Upload Date | March 01 2025 09:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1348
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
6643
1.24 KIPS |
|
|
Image Classification (Q)
|
96% |
6544
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9695
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10254
166.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11153
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70019
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65826
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
99% |
7892
627.8 IPS |
|
|
Object Detection (Q)
|
91% |
7364
588.5 IPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
15864
188.5 IPS |
|
|
Face Detection (Q)
|
100% |
15111
179.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5964
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50751
391.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53387
417.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22479
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120022
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
115578
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4338
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25716
949.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27996
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3931
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3887
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3313
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3881
67.1 IPS |
