MacBook Pro (14-inch, 2021)
Geekbench AI Score
3666
Single Precision Score
16436
Half Precision Score
16335
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | April 07 2025 09:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
6869
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6599
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9695
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10437
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11069
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70320
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65680
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
99% |
7951
632.5 IPS |
|
|
Object Detection (Q)
|
91% |
7496
599.0 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
15750
187.1 IPS |
|
|
Face Detection (Q)
|
100% |
14985
178.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5812
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51451
396.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53682
419.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22068
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
120886
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
115625
149.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4329
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25819
953.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27831
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2281
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4102
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3858
66.7 IPS |
