MacBook Pro (14-inch, 2021)
Geekbench AI Score
3661
Single Precision Score
16497
Half Precision Score
16420
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hellisp |
| Upload Date | June 18 2025 06:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
6945
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6660
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9690
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10436
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11010
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
71007
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
67827
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
8012
637.4 IPS |
|
|
Object Detection (Q)
|
91% |
7533
601.9 IPS |
|
|
Face Detection (SP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
16093
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
14509
172.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5842
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51611
397.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
53987
421.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21895
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120995
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116668
150.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4319
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25838
954.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28010
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4048
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4059
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3863
66.8 IPS |
